We are in the midst of a data revolution. New technologies in every facet of academic and daily life are producing increasingly large-scale, complex data. These data have the potential to inform some of the most pressing societal questions, in completely new ways.
The University of Toronto is one of the world’s top-ranked research universities with unparalleled leadership and expertise in the foundations of data science in fields such as engineering, statistical science, mathematics, computer science and information science. We are leaders in applied fields, such as astronomy, physics, computational biology, urban planning and genomics, that have long drawn on big data and analytics, and social sciences and digital humanities are increasingly emerging as a result of the intersection of traditional disciplines with digital resources.
With increasingly larger and more complex data come challenge. Data science refers to the collecting, manipulating, storing, visualizing and extracting information from data, in reproducible, fair and ethical ways. Data science is a highly interdisciplinary and multidisciplinary field for education and training.
The University of Toronto offers a wide range of data science academic and professional programming – from undergraduate, graduate, professional and continuing education. You can search our offerings below.
| Data Sciences Programs | |
|---|---|
Actuarial Science Major | Actuarial Science is based upon the application of mathematical techniques to reduce the impact of such hazards as loss of income through death, disability, or retirement, or loss of property through fire, accident, or theft. Actuaries are the chief architects of life, health, and property insurance plans, and pension plans, and bear the major responsibility for their financial soundness. By using concepts from the areas of probability and finance, actuaries model, forecast and value the costs of benefits that will be provided to the participants in such plans. Methods developed for modeling insurance risk can also be applied to modeling investment risk, and actuaries apply their expertise to the valuation of sophisticated investment vehicles such as options on equities, bonds and other investment derivatives. University of Toronto's Actuarial Science program is accredited by the Canadian Institute of Actuaries and some professional requirements can be satisfied through courses in the actuarial program. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Statistical Sciences Campus: St. George Campus Interested? Visit Website |
Actuarial Science Specialist | Actuarial Science is based upon the application of mathematical techniques to reduce the impact of such hazards as loss of income through death, disability, or retirement, or loss of property through fire, accident, or theft. Actuaries are the chief architects of life, health, and property insurance plans, and pension plans, and bear the major responsibility for their financial soundness. By using concepts from the areas of probability and finance, actuaries model, forecast and value the costs of benefits that will be provided to the participants in such plans. Methods developed for modeling insurance risk can also be applied to modeling investment risk, and actuaries apply their expertise to the valuation of sophisticated investment vehicles such as options on equities, bonds and other investment derivatives. University of Toronto's Actuarial Science program is accredited by the Canadian Institute of Actuaries and some professional requirements can be satisfied through courses in the actuarial program. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Statistical Sciences Campus: St. George Campus Interested? Visit Website |
AI in Health Certificate | The multiday AI in Health Certificate prepares learners to apply innovations in artificial intelligence for health, while gaining a practical understanding of how to implement AI within their own organizations through a specialized case project. Participants receive a Certificate of Completion and the program is accredited by the College of Family Physicians of Canada, Royal College of Physicians and Surgeons of Canada, and the Canadian College of Health Leaders. Program: Certificate Division: Dalla Lana School of Public Health Department: Institute of Health Policy, Management and Evaluation (IHPME) Campus: St. George Campus Interested? Visit Website |
Analytics Emphasis (MEng) | Master of Engineering (MEng) students in graduate units in the departments of Chemical Engineering & Applied Chemistry, Civil Engineering, Electrical & Computer Engineering, and Mechanical & Industrial Engineering can earn an Emphasis in Analytics by successfully completing four courses from a designated course list. The emphasis covers a range of methodologies, from descriptive (using statistics to analyze and understand data) to predictive (using machine learning to forecast unknown information) to prescriptive (using optimization to make data-driven decision) approaches. Program: Professional Masters, Master of Engineering Division: Faculty of Applied Science & Engineering Department: N/A Campus: St. George Campus Interested? Visit Website |
Applied Computing (MScAC) | The Master of Science in Applied Computing (MScAC) program is a 16-month applied research program designed to prepare students for success as a technical/innovation leader, primarily in the information technology space. The program begins with eight months of advanced graduate research courses focusing on computer science or data science, studying with Canada’s leading researchers. This is followed by an eight-month applied research internship at a firm where students will apply research results to real-world problems. Students select a concentration in Applied Mathematics, Data Science, or Computer Science. Program: Professional Masters, Master of Science in Applied Computing Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George Campus Interested? Visit Website |
Applied Mathematics Specialist | The Specialist program in Applied Mathematics is recommended to students who want a deep knowledge of the subject, such as those who are contemplating graduate work in mathematics, or mathematics and physics. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Mathematics Campus: St. George Campus Interested? Visit Website |
Applied Statistics Minor | Statistics is the study of the collection, organization, analysis, interpretation and presentation of data. The discipline is research-intensive and includes many interesting aspects, such as probability, game theory, statistical modeling and analysis. Students will learn to design effective experiments in order to make predictions and minimize uncertainty in decision making. The Applied Statistics program is all about experiential learning and is an excellent choice for students with strong quantitative skills and the desire to solve practical problems. Program: Undergraduate Program, part of an undergraduate degree program Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Artificial Intelligence Certificate | The Certificate in Artificial Intelligence explores all modern branches of AI, from deep learning using neural nets to reinforcement learning; understanding how to use AI to address urgent business and social issues; developing innovative industrial, commercial and government applications; introduinge AI to your workplace or further its development there; understanding Canada’s cutting-edge AI marketplace – and where you fit best. Program: N/A Division: School of Continuing Studies Department: N/A Campus: Tri-Campus Interested? Visit Website |
Artificial Intelligence Engineering Certificate | Artificial Intelligence (AI) and Machine learning (ML) have exploded in importance in recent years and garnered attention in a wide variety of application areas, including computer vision (e.g. image recognition), game playing (e.g. AlphaGo), autonomous driving, speech recognition, customer preference elicitation, bioinformatics (e.g. gene analysis) and others. While the topics may appear primarily to reside in the disciplines of computer engineering and computer science, the topics of AI and ML now apply to all disciplines of engineering, such as projection of future road-traffic patterns, applications in industrial automation and robotic control, or the use of AI/ML drug discovery, to name just a few examples. All undergraduate Engineering students are eligible to participate in this certificate except students in the Engineering Science Machine Intelligence Major and the Robotics Major. Program: Undergraduate Program, may be pursued as part of a Bachelor of Applied Science or Bachelor of Applied Science in Engineering Science Division: Faculty of Applied Science & Engineering Department: N/A Campus: St. George Campus Interested? Visit Website |
Artificial Intelligence Engineering Minor | Artificial intelligence (AI) and Machine learning (ML) have exploded in importance in recent years and garnered attention in a wide variety of application areas, including computer vision (e.g., image recognition), game playing (e.g., AlphaGo), autonomous driving, speech recognition, customer preference elicitation, bioinformatics (e.g., gene analysis) and others. While the topics may appear primarily to reside in the disciplines of computer engineering and computer science, the topics of AI and ML now apply to all disciplines of engineering, such as projection of future road-traffic patterns, applications in industrial automation and robotic control, or the use of AI/ML drug discovery, to name just a few examples. The Artificial Intelligence Engineering Minor delves into topics such as fundamentals of AI, data mining, neural networks and deep learning, allowing students to understand and utilize algorithms and data structures, critique the role of implications of AI in society and apply this in-depth knowledge to address engineering problems. With the exception of students in the Engineering Science Machine Learning Major, this minor if open to all Engineering undergraduates. Program: Undergraduate Program, may be pursued as part of a Bachelor of Applied Science or Bachelor of Applied Science in Engineering Science Division: Faculty of Applied Science & Engineering Department: N/A Campus: St. George Campus Interested? Visit Website |
Bioinformatics and Computational Biology Specialist | The genomic and post-genomic era brings opportunities for new insight into all aspects of biology and medicine, based on the computational analysis of very large datasets in a biological context. The Bioinformatics and Computational Biology Program is an interdepartmental, interdisciplinary Program of Study that balances computer-science and life-science courses. The program emphasizes the use of computational analysis of very large datasets in a biological and medical context. Degree: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Cell & Systems Biology Campus: St. George Campus Interested? Visit Website |
Bioinformatics Specialist | Bioinformatics is an interdisciplinary science that combines, Biology, Computer Science, Statistics, Mathematics, and Chemistry. Bioinformatics is the managing of large amounts of biological information generated from research using advanced computational methods/programs. The specialist program includes various courses in genetics and molecular biology which will put into context the vast amounts of genomic data and how it is isolated, sequenced and analyzed. Furthermore, the computer science courses will give you the foundation to write your own computer programs as needed to analyze large amounts of data that would not be able to be done by hand in a timely manner. This program also provides a solid foundation in mathematics and statistics that will also help you to design and analyze experiments. Degree: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Mississauga Department: Department of Mathematical and Computational Sciences Campus: Mississauga Campus Interested? Visit Website |
Biostatistics (MSc) | The Public Health Sciences Master’s of Science (MSc) degree in Biostatistics will typically take 12-24 months to complete. The curriculum provides a solid base in biostatistical methods including foundational courses in mathematical statistics, survival analysis, categorical data analysis and applied Bayesian methods. It also offers numerous electives. The program is offered in three options: Course-Only Option; Course-Only, with an emphasis in Artificial Intelligence (AI) and Data Science Option; or Thesis Option. Students who pursue the Emphasis in Artificial Intelligence (AI) and Data Science option must complete a practicum component in the area of artificial intelligence/data science. Program: Graduate Program (Research Stream), Master of Science Division: Dalla Lana School of Public Health Department: Biostatistics Division Campus: St. George Campus Interested? Visit Website |
Biostatistics (PhD) | Graduates from the Biostatistics Division will be well suited to work as independent researchers within a university setting and to take a leadership or supervisory role in university research institutes, government departments, hospitals, pharmaceutical/health corporations, and other health agencies such as cancer research units. Program: Graduate Program (Research Stream), Doctor of Philosophy Division: Dalla Lana School of Public Health Department: Biostatistics Division Campus: St. George Campus Interested? Visit Website |
Biotechnology (MBiotech) | The Master of Biotechology (MBiotech) Program is a 24 month, course-based professional degree program offered through the Institute for Management & Innovation at the University of Toronto Mississauga. The program incorporates both science and business courses, as well as 8 to 12 months of work experience in industry. The MBiotech Program offers fields of concentration in Biopharmaceuticals and Digital Health Technologies (DHT). The DHT field of concentration focuses on three main pillars: (1) Health & Regulatory (privacy, data governance, policies re. classification of medical products); (2) Data Science (combines advanced statistical training with domain knowledge about healthcare and disease); and (3) Business (introduction to basic business concepts to understand profit drivers in this sector). The digital health field itself is diverse and includes: bio-physics, mobile medical apps, health information technology, general wellness, electronic medical records, software and cybersecurity, health information technology and wearable technology, to list a few. Program: Professional Masters, Master of Biotechnology Division: University of Toronto Mississauga Department: Institute for Management & Innovation (IMI) Campus: Mississauga Campus Interested? Visit Website |
CANSSI Ontario Strategic Training for Advanced Genetic Epidemiology (STAGE) | CANSSI Ontario STAGE (STAGE) is a formal and comprehensive training program in Genetic Epidemiology and Statistical Genetics. The program offers training and career development opportunities designed to cross-train individuals at the interface of genetics and population health sciences in genetic epidemiology and statistical genetics. Program: N/A Division: Faculty of Arts & Science Department: CANSSI Ontario Campus: St. George Campus Interested? Visit Website |
Clinical Epidemiology and Health Care Research (CEHCR) (MSc) | Clinical epidemiology is the study of the determinants and effects of clinical decisions. Clinical Epidemiology and Health Care Research (CEHCR) is offered as a concentration for Master of Science (MSc) students with a health professional background. The program provides students with the research skills necessary to: - undertake clinical and health care research as an independent investigator and to compete for peer-reviewed funding. - assess critically the results of clinical and health care research reported in the medical literature, to use the results of research in daily clinical practice, and to teach evidence-based practice in clinical-training programs. - play a leadership role in translating the results of effectiveness and efficiency research into: clinical practice policies (practice guidelines), health policies, and reimbursement policies (e.g., the decision-making process of drugs and medical-devices approval). - teach the principles of clinical and health care research to graduate students in research training programs. - collaborate with other investigators on research projects and contribute to the research their unique skills – a combination of clinical knowledge of the conditions under study and research design. - assist other health care providers and researchers in the design and implementation of clinical and health care research. The MSc is designed for health professionals interested in learning the skills necessary to conduct clinical and health care research. Two streams of training are available at the Masters level – a non-thesis, course-only stream and a thesis-based stream. Program: Graduate Program (Research Stream), Master of Science Divison: Dalla Lana School of Public Health Department: Institute of Health Policy, Management and Evaluation (IHMPE) Campus: St. George Campus Interested? Visit Website |
Clinical Epidemiology and Health Care Research (CEHCR) (PhD) | Clinical epidemiology is the study of the determinants and effects of clinical decisions. Clinical Epidemiology and Health Care Research (CEHCR) is offered as a concentration for PhD students with a health professional background. The program exposes students to the full breadth of the discipline of clinical epidemiology, including trials methodology, quality of life measurement, meta-analysis, guidelines development, decision analysis, health services research, non-experimental design, and clinical economics. The curriculum is designed to provide students with the research skills necessary to: - advance methods for critically appraising the literature and develop new techniques for teaching evidence-based medicine - play a leadership role in knowledge translation practice and research - teach the principles of clinical and health care research to graduate students in research training programs - lead research projects that contribute to improvements in Canadians’ health and changes in practice and policy - serve as methodological experts in assisting others to design and conduct clinical and health services research. The PhD is designed for health professionals interested in an in-depth education in the tools, theories and methods of clinical and health care research. Program: Graduate Program (Research Stream), Doctor of Philosophy Division: Dalla Lana School of Public Health Department: Institute of Health Policy, Management and Evaluation (IHMPE) Campus: St. George Campus Interested? Visit Website |
Collaborative Specialization in Genome Biology and Bioinformatics (PhD) | The Collaborative Specialization in Genome Biology and Bioinformatics addresses the need for cooperation across disciplines that include disciplines that include computational, theoretical, biochemical, structural, cell biological, and genetic approaches with a coherent course of study that educates, trains, and provides community for doctoral graduate students across these diverse disciplines. Upon successful completion of the PhD requirements of the participating home graduate unit and the collaborative specialization, students receive the notation "Completed Collaborative Specialization in Genome Biology and Bioinformatics" on their transcript and parchment. Participating degree programs include: Biochemistry; Biomedical Engineering; Cell and Systems Biology; Chemical Engineering and Applied Chemistry; Computer Science; Ecology and Evolutionary Biology; Laboratory Medicine and Pathobiology; Medical Biophysics; Medical Science; and Molecular Genetics. Program: Graduate Program (Research Stream), Doctor of Philosophy Division: Faculty of Arts & Science Department: Department of Biochemistry Campus: Tri-Campus Interested? Visit Website |
Combined Degree Program (CDP):, Law, Juris Doctor / Master of Information | The combined JD/MI program is designed for students who wish to combine graduate training in information studies with a degree in law. The JD/MI Combined Program allows a student to complete two degree programs within a reduced timeframe of four years. It is offered jointly by the Faculty of Law and the Faculty of Information at the University of Toronto. At the completion of the four-year integrated program, the successful candidate is awarded both the Juris Doctor and the Master of Information degrees, which, if taken separately, would require five years of study. Program: Combined Degree Program, Juris Doctor & Master of Information Division: Faculty of Law, Faculty of Information (iSchool) Department: N/A Campus: St. George Campus Interested? Visit Website |
Combined Degree Program (CDP): Honours Bachelor of Arts, Major in Communication, Culture, Information, and Technology / Master of Information | The Combined Degree Program (CDP): UTM, Honours Bachelor of Arts, Major in Communication, Culture, Information and Technology / Master of Information allows students to complete both degrees in 5.5 years rather than the 6 years it would take to acquire them independently. Program: Combined Degree Program. Honours Bachelor of Arts & Master of Information Division: University of Toronto Mississauga, Faculty of Information (iSchool) Department: N/A Campus: St. George Campus, Mississauga Campus Interested? Visit Website |
Combined Degree Program (CDP): Honours Bachelor of Arts, Specialist in Digital Enterprise Management / Master of Information | The Combined Degree Program (CDP): UTM, Honours Bachelor of Arts, Specialist in Digital Enterprise Management / Master of Information allows students to complete both degrees in 5.5 years rather than the 6 years it would take to acquire them independently. Program: Combined Degree Program, Honours Bachelor of Arts & Master of Information Division: University of Toronto Mississauga, Faculty of Information (iSchool) Department: N/A Campus: St. George Campus, Mississauga Campus Interested? Visit Website |
Computational Biology in Molecular Genetics Track (CBMG) (PhD) | The Computational Biology in Molecular Genetics (CBMG) Track provides students with an immersive computational biology education. Students are admitted to the Molecular Genetics PhD program and are provided opportunities and courses specific to their discipline to maximize their training potential. Program: Graduate Program (Research Stream), Doctor of Philosophy Division: Temerty Faculty of Medicine Department: Department of Molecular Biology Campus: Tri-Campus Interested? Visit Website |
Computational Mechanics in Design Certificate (MEng) | The Master of Engineering (MEng) Certificate in Computational Mechanics in Design is designed for students who wish to develop their knowledge and competency in the field of computational mechanics. Computational mechanics is a computer-based discipline used to tackle highly complex engineering problems with the use of numerical approximation techniques. This certificate will provide students with the skills necessary to formulate, synthesize, implement and analyze complex engineering problems in the fields of solids, fluids, and energy. Open to students pursuing an MEng in the Department of Mechanical & Industrial Engineering. Program: Professional Masters, Master of Engineering Division: Faculty of Applied Science & Engineering Department: Department of Mechanical & Industrial Engineering (MIE) Campus: St. George Campus Interested? Visit Website |
Computer Engineering | The Computer Engineering undergraduate program is distinctive as it is based on the broad areas of electrical engineering and computer science. These foundations are used in the design and organization of computer systems, design of programs that turn these systems into useful applications and the use of computers in communication and control systems. Design includes hardware, operating systems and software. Computer engineering students will learn how computer systems work and how they can be integrated into larger systems that serve a wide range of users and businesses. As a result, the program also ensures that our students will gain experience in communications, problem-solving and team management. A computer engineer may be involved in the design of computers and computer systems. They may also be engaged in the design of computer-based communications and control systems or in the design of microelectronic circuits, including computer-aided design and manufacturing. Computer system analysis and the design of both hardware and software for applications, such as artificial intelligence and expert systems, database systems, wireless networks, computer security and robotics, are included in the scope of the computer engineer’s work. The first two years of study provide the essential background in basic science and mathematics and introduce students to important concepts in electrical and computer engineering, such as circuits, digital systems, electronics and communication systems. These two years of study are identical to those in electrical engineering. Program: Undergraduate Program, Bachelor of Applied Science Division: Faculty of Applied Science & Engineering Department: Electrical & Computer Engineering (ECE) Campus: St. George Campus Interested? Visit Website |
Computer Science (MSc) | The Master of Science (MSc) in Computer Science degree program is designed for students seeking to be trained as a researcher capable of creating original, internationally recognized research in computer science. The program consists of courses and research, conducted under the supervision of a faculty member. Faculty in the Department of Computer Science are interested in a wide range of subjects related to computing, including programming languages and methodology, software engineering, operating systems, compilers, distributed computation, networks, numerical analysis and scientific computing, financial computation, data structures, algorithm design and analysis, computational complexity, cryptography, combinatorics, graph theory, artificial intelligence, neural networks, knowledge representation, computational linguistics, computer vision, robotics, database systems, graphics, animation, interactive computing, and human-computer interaction. Program: Graduate Program (Research Stream), Master of Science Division: Faculty of Arts & Science Department: Department of Computer Science Campus: Tri-Campus Interested? Visit Website |
Computer Science (PhD) | The PhD degree program is designed for students seeking to be trained as a researcher capable of creating original, internationally recognized research in computer science. Research conducted under the supervision of a faculty member will constitute a significant and original contribution to computer science. Faculty in the Department of Computer Science are interested in a wide range of subjects related to computing, including programming languages and methodology, software engineering, operating systems, compilers, distributed computation, networks, numerical analysis and scientific computing, financial computation, data structures, algorithm design and analysis, computational complexity, cryptography, combinatorics, graph theory, artificial intelligence, neural networks, knowledge representation, computational linguistics, computer vision, robotics, database systems, graphics, animation, interactive computing, and human-computer interaction. Program: Graduate Program (Research Stream), Doctor of Philosophy Division: Faculty of Arts & Science Department: Department of Computer Science Campus: Tri-Campus Interested? Visit Website |
Computer Science Major | Despite the name, Computer Science is not really a science of computers at all. Computers are quite remarkable electronic devices, but even more remarkable is what they can be made to do: simulate the flow of air over a wing, manage communication over the Internet, control the actions of a robot, synthesize realistic images, play grandmaster-level chess, and on and on. Indeed the application of computers in activities like these has affected most areas of modern life. What these tasks have in common has little to do with the physics or electronics of computers; what matters is that they can be formulated as some sort of computation. This is the real subject matter of Computer Science: computation, and what can or cannot be done computationally. In trying to make sense of what we can get a computer to do, a wide variety of topics come up. There are, however, two recurring themes. The first is the issue of scale: how big a system can we specify without getting lost in the design, or how big a task can a computer handle within reasonable bounds of time, memory, and accuracy. A large part of Computer Science deals with these questions in one form or another. In the area of programming languages and methodology, for example, we look for notations for describing computations, and programming methodologies that facilitate the production of manageable and efficient software. In the theory of computation area, we study resource requirements in time and memory of many basic computational tasks. The second theme concerns the scope of computation. Computers were originally conceived as purely numerical calculators, but today, we tend to view them much more broadly. Part of Computer Science is concerned with understanding just how far computational ideas can be applied. In the area of artificial intelligence, for example, we ask how much of the intelligent behaviour of people can be expressed in computational terms. In the area of human-computer interaction, we ask what sorts of normal day-to-day activities of people might be supported and augmented using computers. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George Campus Interested? Visit Website |
Computer Science Major | The Major Program in Computer Science provides basic knowledge of the foundations of computer science: modern computer software and hardware, theoretical aspects of computer science, and relevant areas of mathematics and statistics. This program is intended to be combined with other programs, typically a major program in another discipline. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Computer Science Major | Computer science is concerned in the broadest sense with the study of computation and applications of computing. Its development has been stimulated by collaborations with many areas including engineering, the physical and life sciences, mathematics and statistics and commerce. Course offerings in the Computer Science program are intended to serve a wide variety of students, ranging from those whose primary interest is in information processing to those interested in applying computing to other fields. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Mississauga Department: Department of Mathematical and Computational Sciences Campus: Mississauga Campus Interested? Visit Website |
Computer Science Major (Co-operative) | The Major Program in Computer Science provides basic knowledge of the foundations of computer science: modern computer software and hardware, theoretical aspects of computer science, and relevant areas of mathematics and statistics. This program is intended to be combined with other programs, typically a major program in another discipline. The Major (Co-op) Program in Computer Science is a Work Integrated Learning (WIL) program that combines academic studies with paid work terms in the public, private, and/or non-profit sectors. The program provides students with the opportunity to develop the academic and professional skills required to pursue employment in these areas, or to continue on to graduate training in an academic field related to Computer Science upon graduation. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Computer Science Minor | Despite the name, Computer Science is not really a science of computers at all. Computers are quite remarkable electronic devices, but even more remarkable is what they can be made to do: simulate the flow of air over a wing, manage communication over the Internet, control the actions of a robot, synthesize realistic images, play grandmaster-level chess, and on and on. Indeed the application of computers in activities like these has affected most areas of modern life. What these tasks have in common has little to do with the physics or electronics of computers; what matters is that they can be formulated as some sort of computation. This is the real subject matter of Computer Science: computation, and what can or cannot be done computationally. In trying to make sense of what we can get a computer to do, a wide variety of topics come up. There are, however, two recurring themes. The first is the issue of scale: how big a system can we specify without getting lost in the design, or how big a task can a computer handle within reasonable bounds of time, memory, and accuracy. A large part of Computer Science deals with these questions in one form or another. In the area of programming languages and methodology, for example, we look for notations for describing computations, and programming methodologies that facilitate the production of manageable and efficient software. In the theory of computation area, we study resource requirements in time and memory of many basic computational tasks. The second theme concerns the scope of computation. Computers were originally conceived as purely numerical calculators, but today, we tend to view them much more broadly. Part of Computer Science is concerned with understanding just how far computational ideas can be applied. In the area of artificial intelligence, for example, we ask how much of the intelligent behaviour of people can be expressed in computational terms. In the area of human-computer interaction, we ask what sorts of normal day-to-day activities of people might be supported and augmented using computers. Program: Undergraduate Program, part of an undergraduate degree program Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George Campus interested? Visit Website |
Computer Science Minor | Computer science is concerned in the broadest sense with the study of computation and applications of computing. Its development has been stimulated by collaborations with many areas including engineering, the physical and life sciences, mathematics and statistics, and commerce. Course offerings in the Computer Science program are intended to serve a wide variety of students, ranging from those whose primary interest is in information processing to those interested in applying computing to other fields. Program: Undergraduate Program, part of an undergraduate degree program Division: University of Toronto Mississauga Department: Department of Mathematical and Computational Sciences Campus: Mississauga Campus Interested? Visit Website |
Computer Science Minor | The Minor Program in Computer Science provides a basic introduction to the tools and methodologies of computer science and equips students with the knowledge necessary to use the tools and methodologies as they relate to other subjects. The program is intended to complement programs in other disciplines. Program: Undergraduate Program, part of an undergraduate degree program Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Computer Science Specialist | Despite the name, Computer Science is not really a science of computers at all. Computers are quite remarkable electronic devices, but even more remarkable is what they can be made to do: simulate the flow of air over a wing, manage communication over the Internet, control the actions of a robot, synthesize realistic images, play grandmaster-level chess, and on and on. Indeed the application of computers in activities like these has affected most areas of modern life. What these tasks have in common has little to do with the physics or electronics of computers; what matters is that they can be formulated as some sort of computation. This is the real subject matter of Computer Science: computation, and what can or cannot be done computationally. In trying to make sense of what we can get a computer to do, a wide variety of topics come up. There are, however, two recurring themes. The first is the issue of scale: how big a system can we specify without getting lost in the design, or how big a task can a computer handle within reasonable bounds of time, memory, and accuracy. A large part of Computer Science deals with these questions in one form or another. In the area of programming languages and methodology, for example, we look for notations for describing computations, and programming methodologies that facilitate the production of manageable and efficient software. In the theory of computation area, we study resource requirements in time and memory of many basic computational tasks. The second theme concerns the scope of computation. Computers were originally conceived as purely numerical calculators, but today, we tend to view them much more broadly. Part of Computer Science is concerned with understanding just how far computational ideas can be applied. In the area of artificial intelligence, for example, we ask how much of the intelligent behaviour of people can be expressed in computational terms. In the area of human-computer interaction, we ask what sorts of normal day-to-day activities of people might be supported and augmented using computers. Those in the Computer Science Specialist program in the Faculty of Arts & Science may pursue an optional Focus in Artificial Intelligence, Computational Linguistics, and Natural Language Processing, Computer Vision, or Theory of Computation. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George Campus Interested? https://artsci.calendar.utoronto.ca/program/asspe1689 |
Computer Science Specialist | Computer science is concerned in the broadest sense with the study of computation and applications of computing. Its development has been stimulated by collaborations with many disciplines including engineering, the physical and life sciences, mathematics and statistics, and commerce. However, computer science is much more than a set of techniques used in these application areas. Computer science as a discipline encompasses a wide range of research areas including human-computer interaction, software engineering, systems, numerical analysis, cryptography, and theory. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Mississauga Department: Department of Mathematical and Computational Sciences Campus: Mississauga Campus Interested? Visit Website |
Computer Science Specialist, Comprehensive Stream | Computer Science at U of T Scarborough aims to combine the theory and practical elements of the integration of computers into many fields. In the Computer Science program, students have the chance to prepare for graduate study and professional work in the field of Information Technology. Students investigate the applications of computers to specific problems areas by looking at numerical analysis, data management systems, computer graphics, and artificial intelligence. The Comprehensive Stream provides broad and balanced exposure to the discipline. It is the stream best-suited for students planning to pursue graduate study in computer science, but it is also suitable for other career paths. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Computer Science Specialist, Comprehensive Stream (Co-operative) | Computer Science at U of T Scarborough aims to combine the theory and practical elements of the integration of computers into many fields. In the Computer Science program, students have the chance to prepare for graduate study and professional work in the field of Information Technology. Students investigate the applications of computers to specific problems areas by looking at numerical analysis, data management systems, computer graphics, and artificial intelligence. The Comprehensive Stream provides a broad and balanced exposure to the discipline. It is the stream best-suited for students planning to pursue graduate study in computer science, but it is also suitable for other career paths. The Co-operative Program is a Work Integrated Learning (WIL) program that combines academic studies with paid work terms in the public, private, and/or non-profit sectors. The program provides students with the opportunity to develop the academic and professional skills required to pursue employment in these areas or to continue on to graduate training. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Computer Science Specialist, Entrepreneurship Stream | Computer Science at U of T Scarborough aims to combine the theory and practical elements of the integration of computers into many fields. In the Computer Science program, students have the chance to prepare for graduate study and professional work in the field of Information Technology. Students investigate the applications of computers to specific problems areas by looking at numerical analysis, data management systems, computer graphics, and artificial intelligence. The Entrepreneurship Stream includes a solid core of computer science and software engineering while exposing students to the framework and methodologies that underlie the development of innovative technology ideas into viable commercial opportunities. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Computer Science Specialist, Entrepreneurship Stream (Co-operative) | Computer Science at U of T Scarborough aims to combine the theory and practical elements of the integration of computers into many fields. In the Computer Science program, students have the chance to prepare for graduate study and professional work in the field of Information Technology. Students investigate the applications of computers to specific problems areas by looking at numerical analysis, data management systems, computer graphics and artificial intelligence. The Entrepreneurship Stream includes a solid core of computer science and software engineering, while exposing students to the framework and methodologies that underlie the development of innovative technology ideas into viable commercial opportunities. The Co-operative Program is a Work Integrated Learning (WIL) program that combines academic studies with paid work terms in the public, private, and/or non-profit sectors. The program provides students with the opportunity to develop the academic and professional skills required to pursue employment in these areas, or to continue on to graduate training. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Computer Science Specialist, Focus in Artificial Intelligence | Artificial Intelligence (AI) is aimed at understanding and replicating the computational processes underlying intelligent behaviour. These behaviours include the perception of one's environment, learning how that environment is structured, communicating with other agents, and reasoning to guide one's actions. The Focus in Artificial Intelligence is designed to provide students with an introduction to some of the key scientific and technical ideas that have been developed in AI. This focus is open to students enrolled in the Computer Science Specialist Program. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George Campus Interested? Visit Website |
Computer Science Specialist, Focus in Computational Linguistics and Natural Language Processing | How can we build and analyze systems that enable users to communicate with computers using human language (also called natural language) and automatically process the vast amounts of data on the web available in the form of text? The focus covers appropriate material on natural language interfaces, as well as tools such as document summarization, intelligent search over the web, and so on. This focus is open to students enrolled in the Computer Science Specialist Program. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George Campus Interested? Visit Website |
Computer Science Specialist, Focus in Computer Systems | Software systems are complex and interesting. Poorly done systems can be incredibly expensive: they can cost society billions of dollars and sometimes make the difference between life and death. Rapid changes in technology and applications means that the underlying systems must continually adapt. This focus takes you under the covers of software systems, laying bare the layers and introducing you to concurrency issues, scalability, multiprocessor systems, distributed computing, and more. This focus is open to students enrolled in the Computer Science Specialist Program. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George Campus Interested? Visit Website |
Computer Science Specialist, Focus in Computer Vision | Computer vision is the science and technology of machines that can see. As a science, the goal of computer vision is to understand the computational processes required for a machine to come to an understanding of the content of a set of images. The data here may be a single snapshot, a video sequence, or a set of images from different viewpoints or provided by medical scanners. The computer vision focus introduces students to the study of vision from a computational point of view. That is, we attempt to clearly define computational problems for various steps of the overall process, and then show how these problems can be tackled with appropriate algorithms. This focus is open to students enrolled in the Computer Science Specialist Program. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George Campus Interested? Visit Website |
Computer Science Specialist, Focus in Game Design | Video game design combines several disciplines within computer science, including software engineering, graphics, artificial intelligence, and human-computer interaction. It also incorporates elements of economics, psychology, music, and creative writing, requiring video game researchers to have a diverse, multidisciplinary set of skills. This focus is open to students enrolled in the Computer Science Specialist Program. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George Campus Interested? Visit Website |
Computer Science Specialist, Focus in Human-Computer Interaction | Human-Computer Interaction (HCI) is the scientific study of the use of computers by people and the design discipline that informs the creation of systems and software that are useful, usable, and enjoyable for the people who use them. HCI students have exciting opportunities for research and graduate school; HCI professionals often have jobs with titles such as user interface architect, user interface specialist, interaction designer, or usability engineer. This focus is open to students enrolled in the Computer Science Specialist Program. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George Campus Interested? Visit Website |
Computer Science Specialist, Focus in Scientific Computing | Scientific computing studies the world around us. Known and unknown quantities are related through certain rules, e.g. physical laws, formulating mathematical problems. These problems are solved by numerical methods implemented as algorithms and run on computers. The numerical methods are analyzed and their performance (e.g. accuracy, efficiency) studied. Problems, such as choosing the optimal shape for an airplane (to achieve, for example, minimal fuel consumption), finding the fair price for derivative products of the market, or regulating the amount of radiation in medical scans, can be modelled by mathematical expressions and solved by numerical techniques. This focus is open to students enrolled in the Computer Science Specialist Program. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George Campus Interested? Visit Website |
Computer Science Specialist, Focus in Theory Computation | Why is it easy to sort a list of numbers, but hard to break Internet encryption schemes? Is finding a solution to a problem harder than checking that a solution is correct? Can we find good approximate solutions, even when the exact solutions seem out of reach? Theory of Computation studies the inherent complexity of fundamental algorithmic problems. On one hand, we develop ground-breaking efficient data structures and algorithms. On the other, we have yet to develop good algorithms for many problems despite decades of effort, and for these problems we strive to prove no time- or space-efficient algorithms will ever solve them. While the field has seen some successful impossibility results, there are still many problems (such as those underlying modern cryptography and security) for which we do not know either efficient algorithms or strong lower bounds! This focus takes a rigorous, mathematical approach to computational problem-solving: students will gain a deep understanding of algorithm paradigms and measures of problem complexity, and develop the skills necessary to convey abstract ideas with precision and clarity. Many of our students go on to graduate studies and sophisticated algorithmic work in industry. This focus has natural ties with many branches of mathematics and is the foundation of many computer science fields. Consequently, our students often apply their theoretical knowledge to other fields of interest. This focus is open to students enrolled in the Computer Science Specialist Program. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George Campus Interested? Visit Website |
| Computer Science Specialist, Focus in Web and Internet Technologies | The Web and Internet Technologies focus introduces students to the systems and algorithms that power today's large-scale web and Internet applications such as search engines, social networking applications, web data mining applications, and content distribution networks. The focus covers the algorithm foundations of web and internet technologies, as well as implementation and system architecture. This focus is open to students enrolled in the Computer Science Specialist Program. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George Campus Interested? Visit Website |
Computer Science Specialist, Information Systems Stream | Computer Science at U of T Scarborough aims to combine the theory and practical elements of the integration of computers into many fields. In the Computer Science program, students have the chance to prepare for graduate study and professional work in the field of Information Technology. Students investigate the applications of computers to specific problems areas by looking at numerical analysis, data management systems, computer graphics, and artificial intelligence. The Information Systems Stream has a similar focus as the Software Engineering Stream, but it provides additional exposure to certain aspects of business management. It is of special interest to students wishing to pursue careers in technical management but who have a deep interest in the technology. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Computer Science Specialist, Information Systems Stream (Co-operative) | Computer Science at U of T Scarborough aims to combine the theory and practical elements of the integration of computers into many fields. In the Computer Science program, students have the chance to prepare for graduate study and professional work in the field of Information Technology. Students investigate the applications of computers to specific problems areas by looking at numerical analysis, data management systems, computer graphics, and artificial intelligence. The Information Systems Stream has a similar focus as the Software Engineering Stream, but it provides additional exposure to certain aspects of business management. It is of special interest to students wishing to pursue careers in technical management but who have a deep interest in the technology. The Co-operative Program is a Work Integrated Learning (WIL) program that combines academic studies with paid work terms in the public, private, and/or non-profit sectors. The program provides students with the opportunity to develop the academic and professional skills required to pursue employment in these areas or to continue on to graduate training. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Computer Science Specialist, Software Engineering Stream | Computer Science at U of T Scarborough aims to combine the theory and practical elements of the integration of computers into many fields. In the Computer Science program, students have the chance to prepare for graduate study and professional work in the field of Information Technology. Students investigate the applications of computers to specific problems areas by looking at numerical analysis, data management systems, computer graphics and artificial intelligence. The Software Engineering Stream places a greater emphasis on the engineering side of the discipline, including computer systems and core applications. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Computer Science Specialist, Software Engineering Stream (Co-operative) | Computer Science at U of T Scarborough aims to combine the theory and practical elements of the integration of computers into many fields. In the Computer Science program, students have the chance to prepare for graduate study and professional work in the field of Information Technology. Students investigate the applications of computers to specific problems areas by looking at numerical analysis, data management systems, computer graphics and artificial intelligence. The Software Engineering Stream places a greater emphasis on the engineering side of the discipline, including computer systems and core applications. The Co-operative Program is a Work Integrated Learning (WIL) program that combines academic studies with paid work terms in the public, private, and/or non-profit sectors. The program provides students with the opportunity to develop the academic and professional skills required to pursue employment in these areas, or to continue on to graduate training. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Data & Analytics | The Data & Analytics professional development program is a three-day course that helps learners develop the skills to understand managerial issues and translate business problems into questions that can be quantifiably addressed with data and analytics tools. By the end of the program, learners will emerge with the ability to transform analysis into insights and communicate findings to colleagues and clients, regardless of their level of data analytics knowledge. Program: Professional Development Course Division: Rotman School of Management Department: N/A Campus: St. George Campus Interested? Visit Website |
Data Analytics Certificate | The Certificate in Data Analytics is offered as an executive program through the Institute of Management & Innovation (IMI). This certificate program is designed to educate managers and executives with the methods and techniques of data analytics, the problems inherent in big data analysis, and the potential of using software that learns or improves its analytical approach with minimal or no assistance. Program: Certificate Department: University of Toronto Mississauga Department: Institute for Management & Innovation (IMI) Campus: Mississauga Campus Interested? Visit Website |
Data Science Certificate | The Certificate in Data Science explores the evolution of data science and predictive analytics; statistical concepts and techniques including regression, correlation, and clustering; application of data management systems and technologies that reflect concern for security and privacy; techniques and technologies including data mining, neural network mapping, and machine learning; and visualization of big data findings to aid decision-makers. Program: Certificate Division: School of Continuing Studies Department: N/A Campus: Tri-Campus Interested? Visit Website |
Data Science Specialist | The field of Data Science is a combination of statistics and computer science methodologies that enable ‘learning from data'. A data scientist extracts information from data and is involved with every step that must be taken to achieve this goal, from getting acquainted with the data to communicating the results in non-technical language. The Data Science Specialist program prepares students for work in the Data Science industry or government and for graduate studies in Data Science, Computer Science, or Statistics. Students in the program will benefit from a range of advanced courses in Computer Science and Statistics offered by the University of Toronto, as well as from a sequence of three integrative courses designed especially for the program. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Computer Science / Department of Statistical Science Campus: St. George Campus Interested? Visit Website |
Digital Enterprise Management (DEM) Specialist | The Digital Enterprise Management (DEM) Specialist Program provides students with the skills and knowledge for utilizing digital technologies to solve business management and organizational problems in creative and innovative ways. Students study, build, and critically analyze enterprise-grade emerging technologies in addition to studying the traditional managerial fields such as finance, law, economics, organizational studies, risk management, design, and project management. Understanding the challenges and demands of managing organizations that use and/or develop digital technologies will prepare students for both traditional and digital enterprises. Program: Undergraduate Program, Honours Bachelor of Arts Division: University of Toronto Mississauga Department: Institute of Communication, Culture, Information and Technology (ICCIT) Campus: Mississauga Campus Interested? Visit Website |
Digital Humanities Minor | In introductory and advanced digital humanities (DH) courses, students learn about the intellectual landscape of digital humanities scholarship. They learn how to build digital stories, exhibits, and maps; how to digitize rare books; how to analyze collections of data; how to construct digital models and 3D-print them; and how to manage major digital projects. By the end of the program, students conduct a major DH research project of their own or participate in the research of an established faculty. Throughout the program, students gain a critical perspective on digital technologies, learning to consider the ways digital platforms shape, and are shaped by, the currents of wider social and cultural forces. Program: Undergraduate Program, part of an undergraduate degree program Division: Faculty of Arts & Science Department: Woodsworth College Campus: St. George Campus Interested? Visit Website |
Double Degree: BBA, Management and Finance Specialist (Co-operative) / HBSc, Statistics Specialist, Quantitative Finance Stream (Co-operative) | Recent developments in finance, including innovative products and technologies such as FinTech and Robo Advising, favour an education that transcends traditional boundaries. Today’s financial industry seeks individuals with a broad range of expertise, covering business, management, quantitative analysis, and IT skills. The Double Degree program is an accelerated pathway for students to acquire this broad range of expertise while completing their BBA in Management & Finance and BSc in Statistics (Quantitative Finance Stream) in five years. This program focuses on finance and quantitative methods, providing students with a thorough education in both the business and quantitative aspects of the financial industry. The Double Degree program combines the Specialist (Co-operative) Program in Management and Finance and the Specialist (Co-operative) Program in Statistics, Quantitative Finance stream. Students completing the Double Degree program will qualify to graduate with two-degree designations – the Bachelor of Business Administration (BAA) and the Honours Bachelor of Science (BSc), assuming all other degree criteria are met. The Double Degree program is a Work Integrated Learning (WIL) program that combines academic studies with paid work terms in public and private enterprises. Depending on their needs and abilities, students work in areas such as finance, insurance, data analytics, accounting, consulting, business intelligence, marketing, policy, strategic planning, and entrepreneurship. The Double Degree program will equip students with a comprehensive understanding of financial markets, and develop the business and quantitative skills required to function in them. Program: Undergraduate Program, Bachelor of Business Administration & Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Management, Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Double Degree: BBA, Management and Finance Specialist / HBSc, Statistics Specialist, Quantitative Finance Stream | Recent developments in finance, including innovative products and technologies such as FinTech and Robo Advising, favour an education that transcends traditional boundaries. Today’s financial industry seeks individuals with a broad range of expertise, covering business, management, quantitative analysis and IT skills. The Double Degree program is an accelerated pathway for students to acquire this broad range of expertise while completing their BBA in Management & Finance and BSc in Statistics (Quantitative Finance Stream) in five years. This program focuses on finance and quantitative methods, providing students with a thorough education in both the business and quantitative aspects of the financial industry. This Double Degree program combines the Specialist Program in Management and Finance and the Specialist Program in Statistics, Quantitative Finance stream. Students completing the Double Degree program will qualify to graduate with two-degree designations – the Bachelor of Business Administration (BBA) and the Honours Bachelor of Science (BSc), assuming all other degree criteria are met. Program: Undergraduate Program, Bachelor of Business Administration & Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Management, Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Economics & Mathematics Specialist | This rigorous and technical joint-specialist program combines the specialist-oriented courses from Economics and Mathematics and provides excellent background for graduate studies in Economics, Finance, or other quantitative careers. In return for mathematical rigour and depth, it sacrifices some of the breadth available in the other two Economics specialist programs. Students wanting more flexibility might wish to consider a double-Major in Economics and Mathematics. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Economics Campus: St. George Campus Interested? Visit Website |
Economics (MA) | The Master of Arts in Economics is a coursework-only program (i.e., has no thesis requirement) that may be taken on a full-time or part-time basis. It is designed for individuals who wish to work in the public, private, and not-for-profit sectors, and also for students intending to pursue a PhD in economics. The ultimate goal of the graduate programs in Economics is to further the student’s capacity for economic analysis through rigorous instruction in theory, econometrics, and a wide variety of fields. Program: Graduate Program (Research Stream) Division: Master of ArtsFaculty of Arts & Science Department: Department of Economics Campus: Tri-Campus interested? Visit Website |
| Economics (PhD) | The Department of Economics offers two PhD programs: a regular-entry program for students who have completed a master’s degree in economics or a closely related field, and a direct-entry program for students with only an undergraduate degree. The ultimate goal of the graduate programs in Economics is to further the student’s capacity for economic analysis through rigorous instruction in theory, econometrics, and a wide variety of fields. Graduates of the programs have obtained desirable university positions, responsible employment in the public sector, and in private industry. Because of the size and diversity of the department’s faculty, students can readily specialize in almost any area of interest in economics. The major fields of specialization offered regularly are Behavioural Economics; Econometrics; Economic Development; Financial Economics; Industrial Organization; International Economics; Labour Economics; Macroeconomics; Microeconomic Theory; Public Economics. Program: Graduate Program (Research Stream), Doctor of Philosophy Division: Faculty of Arts & Science Department: Department of Economics Campus: Tri-Campus Interested? Visit Website |
Economics Major, Focus in Data Analytics | The Major in Economics is the core program in Economics. It is the most flexible program, and can be tailored to meet the academic needs of students with a variety of long-term goals. Students are able to add the Focus in Data Analytics to the Major. The focus ensures that students gain proficiency in applied empirical economics. It provides students with hands-on exposure to the tools empirical economists use to build and analyze datasets - programming languages such as Python, and software programs to manage, statistically analyze, and visualize data such as Excel, GIS, Stata and R. The focus will also direct students to empirical economics courses that apply these tools in a wide variety of contexts. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Economics Campus: St. George Campus Interested? Visit Website |
Economics Specialist, Focus in Data Analytics | The Specialist in Economics is aimed primarily at students planning further studies in Economics. It has the same basic structure as the Economics Major, but the required courses beyond first-year are from the more mathematical stream. In addition to more electives, Economics Specialists must also take the full suite of advanced methods courses (macro, micro, and econometrics). Students are able to add the Focus in Data Analytics to the specialist. Students in the Economics Specialist program who undertake a Focus in Data Analytics will gain advanced ability in applied empirical economics. The Focus (for specialists) provides students with hands-on exposure to the tools empirical economists use to build and analyze datasets - programming languages such as Python, and software programs to manage, statistically analyze, and visualize data such as Excel, GIS, Stata and R. The Specialist Focus will also direct students to required and elective empirical economics courses that apply these tools in a wide variety of contexts Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Economics Campus: St. George Campus Interested? Visit Website |
Electrical & Computer Engineering Major | This Electrical & Computer Engineering Major is an Engineering Science program. Engineering Science is an enriched program that provides excellent preparation for postgraduate studies in engineering and science as well as for other professional degree programs such as business, law and medicine. Program graduates are also well qualified to immediately embark on professional engineering-related careers. The Manjor in Electrical & Computer Engineering provides a strong focus on the foundational principles that form the basis for both disciplines. In our highly integrated world, the two areas are increasingly tightly linked and this approach will give students the background and flexibility to integrate the knowledge required to develop emerging technologies and invent new ones. Students are required to have completed a total of 600 hours of acceptable practical experience before graduation (normally during their summer vacation periods). Satisfactory completion of the Professional Experience Year (PEY) Co-op Program will also completely fulfil the Practical Experience Requirement. Program: Undergraduate Program, Bachelor of Applied Science in Engineering Science Division: Faculty of Applied Science & Engineering Department: Electrical & Computer Engineering (ECE) Campus: St. George Campus Interested? Visit Website |
Electrical and Computer Engineering (MASc) | The Master of Applied Science (MASc) program in Electrical and Computer Engineering provides students with an opportunity to pursue advanced studies in the particular field of major interest and an opportunity to engage in research. The program requires full-time study for a minimum of one year, coursework, and a thesis on a research project. The department offers fields of research in the following areas: Biomedical Engineering; Communications; Computer Engineering; Electromagnetics; Electronics; Energy Systems; Photonics; Systems Control. Program: Graduate Program (Research Stream), Master of Applied Science Division: Faculty of Applied Science & Engineering Department: Department of Electrical and Computer Engineering Campus: St. George Campus Interested? Visit Website |
Electrical and Computer Engineering (MEng) | The Master of Engineering (MEng) is a professional degree that provides a mix of technical, leadership and business competencies.The MEng program in Electrical and Computer Engineering (ECE) is designed to provide professional training beyond the undergraduate level, and to accelerate careers with specialized engineering expertise needed in business, government, and industry. While the MEng is a course-based program, some students complete their degree by pursuing an advanced engineering project in lieu of three technical courses. The program offers a range of graduate courses covering all aspects of ECE. In addition to the general requirements, students have the option of completing an emphasis in one of the following areas as part of their degree program: Analytics; Biomedical Engineering; Communications; Computer Engineering; Electromagnetics; Electronics; Energy Systems; Engineering and Globalization; Entrepreneurship, Leadership, Innovation and Technology Engineering (ELITE); Identity, Privacy and Security (IPS); Photonics; Robotics and Mechatronics; Sustainable Energy; or Systems Control. Program: Professional Masters, Master of Engineering Division: Faculty of Applied Science & Engineering Department: Department of Electrical and Computer Engineering Campus: St. George Campus Interested? Visit Website |
Electrical and Computer Engineering (PhD) | The PhD program in Electrical and Computer Engineering is designed for those who intend to pursue a career in fundamental or applied research. The program requires coursework and the successful completion of a research thesis. The department offers research in the following areas: Biomedical Engineering; Communications; Computer Engineering; Electromagnetics; Electronics; Energy Systems; Photonics; Systems Control Program: Graduate Program (Research Stream), Doctor of Philosophy Division: Faculty of Applied Science & Engineering Department: Department of Electrical and Computer Engineering Campus: St. George Campus Interested? Visit Website |
| Engineering Mathematics, Statistics & Finance Major | The Engineering Mathematics Major is an Engineering Science program. Engineering Science is an enriched program that provides excellent preparation for postgraduate studies in engineering and science as well as for other professional degree programs such as business, law and medicine. Program graduates are also well qualified to immediately embark on professional engineering-related careers. The Major in Engineering Mathematics, Statistics and Finance program provides a strong background in mathematics and statistics, and an understanding of how these disciplines apply to practice in quantitative finance through the use of engineering tools, such as optimization. Students learn about financial theory that governs the dynamics of financial instruments and markets, which impact our global community. Students are required to have completed a total of 600 hours of acceptable practical experience before graduation (normally during their summer vacation periods). Satisfactory completion of the Professional Experience Year (PEY) Co-op Program will also completely fulfill the Practical Experience Requirement. Program: Undergraduate Program, Bachelor of Applied Science in Engineering Science Division: Faculty of Applied Science & Engineering Department: Division of Engineering Science Campus: St. George Campus Interested? Visit Website |
Epidemiology (MPH) | The Master of Public Health (MPH) in Epidemiology provides a solid base in epidemiological methods, and understanding of the breadth of public health and opportunities for applied experiential learning in epidemiologic practice, research and policy. Full-time students complete the program over 4 to 5 consecutive terms of study (including summer). The program requires mandatory and elective courses, and a required practicum placement (completed after at least two terms of course-work). Program: Professional Masters, Master of Public Health Division: Dalla Lana School of Public Health Department: Epidemiology Division Campus: St. George Campus Interested? Visit Website |
Epidemiology (PhD) | The Doctor of Philosophy (PhD) in Epidemiology aims to develop excellent epidemiologists, able to work, teach and conduct research on contributors to health; disease, disability and death; and effective measures of prevention. The program offers an optional course based Emphasis in Artificial intelligence and Data Science. Program: Graduate Program (Research Stream), Doctor of Philosophy Division: Dalla Lana School of Public Health Department: Epidemiology Division Campus: St. George Campus Interested? Visit Website |
Finance and Economics Specialist | Our Specialist in Finance & Economics offers a rigorous combination of the related fields of finance and economics. Designed for students who wish to develop a deep understanding of the finance discipline, this specialist encompasses advanced courses in both economics and finance. Students interested in pursuing a career in finance may consider either this specialist or the Management Specialist with a focus in Finance. The Finance & Economics Specialist may be particularly appealing to students interested in postgraduate study in finance. Program: Undergraduate Program, Bachelor of Commerce Division: Rotman School of Management Department: N/A Campus: St. George Campus Interested? Visit Website |
Financial Economics (MFE) | The Department of Economics, in collaboration with the Rotman School of Management, offers a full-time professional Master of Financial Economics (MFE). The four-semester MFE program consists of three semesters of cross-disciplinary graduate-level course-work at Rotman and the Department of Economics as well as a mandatory internship at a financial institution. The MFE program’s unique academic-experiential curriculum means that MFE students: - Take MBA-level courses at Canada’s top Business School (such as: Corporate Financing, Options & Futures, Advanced Derivatives, Security and Portfolio Analysis); - Take graduate courses at Canada’s top Economics Department (such as: Financial Econometrics, Risk Management, Financial-Economics); and - Gain real-life work experience at top financial institutions – all students must do a paid internship at a financial institution. Program: Professional Masters, Master of Financial Economics Division: Faculty of Arts & Science, Rotman School of Management Department: Department of Economics Campus: St. George Campus Interested? Visit Website |
Financial Economics Specialist | This limited-entry program is intended for students planning careers in finance, especially careers with a more technical/analytic focus. It is also an excellent program for students considering graduate studies in Economics or Financial Economics. It is structured similar to the Economics Specialist, but with more requirements in Financial Economics. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Economics Campus: St. George Campus Interested? Visit Website |
Financial Engineering Certificate (MEng) | The Certificate in Financial Engineering provides Master of Engineering (MEng) students the tools and techniques to better handle risk in finance and other areas. Good risk management ensures that institutions (both non-profit and profit) have financial stability. The stability manifests in reliable pensions for workers, attainment of higher education for family members, better endowments for universities and stability for the Canadian and worldwide economies. Open to students pursuing an MEng in the the Department of Mechanical & Industrial Engineering. Program: Professional Masters, Master of Engineering Division: Faculty of Applied Science & Engineering Department: Department of Mechanical & Industrial Engineering (MIE) Campus: St. George Campus Interested? Visit Website |
Financial Risk Management (MFRM) | The Master of Financial Risk Management (MFRM) program is offered over ten months of full-time study. The program is designed to prepare ambitious recent graduates and young professionals for careers in risk management and finance. In addition to coursework, the program includes a major research project called the Risk Management Project, which involves a risk management issue that is relevant and of interest to financial institutions. During the nine-week project, which takes place halfway through the program, you will be taken out of the classroom and into industry where you will work alongside practicing risk management professionals. Program: Professional Masters, Master of Financial Risk Management Division: Rotman School of Management Department: N/A Campus: St. George Campus Interested? Visit Website |
Geographic Information Science (GIS) Minor | Geographic Information Science (GIS) is based on the integration of digital spatial data, mapping software, and spatial analysis tools. GIS has been a core method in Geographical research for almost two decades but is also rapidly growing in importance outside Geography, in part because of the huge amounts of new spatial data being generated by ubiquitous sensors such as smart phones with GPS locators. A growing number of research areas and careers require knowledge of GIS and cartographic presentation skills. This minor program provides training in the theory and practical application of Geographic Information Science and systems for spatial analysis, spatial data management, and cartographic representation, and is an excellent option for students pursuing Human Geography, City Studies, Critical Development Studies, Historical and Cultural Studies, Sociology, Political Science, Anthropology, Environmental Studies and Environmental Science. Program: Undergraduate Program, part of an undergraduate degree program Division: University of Toronto Scarborough Department: Department of Human Geography Campus: Scarborough Campus Interested? Visit Website |
Geographic Information Systems Minor | The Geographic Information Systems (GIS) program covers the theoretical, technical, and applied foundations for geographic information systems. Students learn methods for spatial data production, analysis and presentation using computer cartography, spatial analysis, remote sensing, and geovisualization. Problem solving and project design are emphasized in upper level courses, as students apply techniques to answer specific geographic questions. The GIS program is structured to provide a stand-alone minor for students in Geography and other disciplines seeking complementary skills in spatial analysis (e.g., field biology, archaeology). Program: Undergraduate Program, part of an undergraduate degree program Division: Faculty of Arts & Science Department: Department of Geography & Planning Campus: St. George Campus Interested? Visit Website |
Geographical Information Systems Major | The Geographical Information Systems (GIS) Major Program offers an analytical perspective on geographical information. What you can learn in GIS program is applicable to employment in public and private sectors including but not limited to healthcare, urban and transportation planning, natural resource management, and conservation agencies. In-depth studies — beyond basic geography — include mapping, spatial analysis, digital databases with specializations in modelling, statistical analysis and remote sensing. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Mississauga Department: Department of Geography, Geomatics and Environment Campus: Mississauga Campus Interested? Visit Website |
Geographical Information Systems Minor | The Geographical Information Systems (GIS) Minor Program offers an analytical perspective on geographical information. What you can learn in GIS program is applicable to employment in public and private sectors including but not limited to healthcare, urban and transportation planning, natural resource management, and conservation agencies. In-depth studies — beyond basic geography — include mapping, spatial analysis, digital databases with specializations in modelling, statistical analysis and remote sensing. Program: Undergraduate Program, part of an undergraduate degree program Division: University of Toronto Mississauga Department: Department of Geography, Geomatics and Environment Campus: Mississauga Campus Interested? Visit Website |
Health Informatics (MHI) | The Master of Health Informatics (MHI) is ideal for emerging early to mid-career candidates from healthcare, business, and technology backgrounds. The 16-month full-time program combines expertise in health systems with applied knowledge in information and communication technologies. A four-month professional practicum placement provides experiential learning under the mentorship of leading health informaticians within government, health service provider organizations, and the private sector. Program: Professional Masters, Master of Health Informatics Division: Dalla Lana School of Public Health Department: Institute of Health Policy, Management and Evaluation (IHPME) Campus: St. George Campus Interested? Visit Website |
Health Services Research (MSc) | Health Services Research is offered as a concentration within the Health Policy, Management and Evaluation (HPME) program, preparing health services researchers for academic, research and planning positions in both the public and private sectors. The program combines intensive graduate training in health services research with advanced training in academic disciplines such as economics, industrial relations, law, financial and human resources management, epidemiology, organizational behavior, political science, sociology and information studies. To complement the interdisciplinary focus of the concentration, students receive advanced training in one of the following emphases: Health Economics; Health Informatics Research; Health Policy; Health Services Organization and Management Studies; Health Services Outcomes and Evaluation; Health Systems Artificial Intelligence; or Health Technology Assessment. This degree is offered with both a thesis and a non-thesis option. Program: Graduate Program (Research Stream), Master of Science Division: Dalla Lana School of Public Health Department: Institute of Health Policy, Management and Evaluation (IHMPE) Campus: St. George Campus Interested? Visit Website |
Health Services Research (PhD) | Health Services Research is offered as a concentration within the Health Policy, Management and Evaluation (HPME) program, preparing health services researchers for academic, research and planning positions in both the public and private sectors. The program combines intensive graduate training in health services research with advanced training in academic disciplines such as economics, industrial relations, law, financial and human resources management, epidemiology, organizational behavior, political science, sociology and information studies. To complement the interdisciplinary focus of the concentration, students receive advanced training in one of the following emphases: Health Economics; Health Informatics Research; Health Policy; Health Services Organization and Management Studies; Health Services Outcomes and Evaluation; or Health Technology Assessment. Program: Graduate Program (Research Stream), Doctor of Philosophy Division: Dalla Lana School of Public Health Department: Institute of Health Policy, Management and Evaluation (IHMPE) Campus: St. George Campus Interested? Visit Website |
Information (BI) | The Bachelor of Information (BI) is a two year, professional, second-entry undergraduate program. The BI considers the interactions between information technologies and social worlds, providing students with the conceptual tools and practical techniques necessary to understand and effect change in a data-intensive society. The program includes a Work Integrated Learning Practicum. Students learn to: - Understand and assess the social, political, economic, and ethical entailments of information creation, ownership, stewardship, and circulation - Understand, critique, and use multiple techniques of data creation, manipulation, and interpretation; - Use current information and computing tools and strive to understand what similar tools may be developed in future; - Use the design process to understand, analyze and engage with complex questions of information practice; - Work collaboratively and professionally to analyze, address emerging problems relating to information technologies and practices; - Apply your knowledge and skills in a manner that demonstrates ethical, cultural, and legal awareness. Program: Undergraduate Program, Bachelor of Information Division: Faculty of Information (iSchool) Department: N/A Campus: St. George Campus Interested? Visit Website |
| Information (MI) | The Master of Information (MI) explores information and knowledge management in all its breadth, depth and richness. MI graduates are the next generation of valued professionals, able to lead the progression of information design, organization, storage, access and retrieval, dissemination, preservation, conservation, and management. Students may choose from seven concentrations, a specialization, coursework-only, co-op, and thesis options. Concentrations include: Archives and Records Management (ARM); Critical Information Policy Studies (CIPS); Culture and Technology (C&T); Human-Centered Data Science (HCDS); Information Systems and Design (ISD); Knowledge Management and Information Management (KMIM); Library and Information Science (LIS); and User Experience Design (UXD). Full-time students can finish the program in 2 years; part-time students are eligible to use up to 6 years to complete their degree requirements. Program: Professional Masters, Master of Information Division: Faculty of Information (iSchool) Department: N/A Campus: St. George Campus Interested? Visit Website |
Information (PhD) | The doctorate program in Information features advanced scholarly research in the theoretical basis of information studies. Students pursue diverse concentrations, including but not limited to Archives & Records Management; Information Systems and Design; Knowledge Management & Information Management; Library & Information Science; and the Philosophy of Information. Program: Graduate Program (Research Stream), Doctor of Philosophy Division: Faculty of Information (iSchool) Department: N/A Campus: Tri-Campus Interested? Visit Website |
Information Engineering Certificate (MEng) | The Master of Engineering (MEng) Certificate in Information Engineering provides students with an understanding of Advanced Information Technology (Big Data, social networks, cloud architectures, etc.), privacy and security issues and the architecture of information systems. Open to students pursuing an MEng in the the Department of Mechanical & Industrial Engineering. Program: Professional Masters, Master of Engineering Division: Faculty of Applied Science & Engineering Department: Department of Mechanical & Industrial Engineering (MIE) Campus: St. George Campus Interested? Visit Website |
Information Security Specialist | The Specialist in Information Security is a Computer Science program that includes courses in all the major aspects of information and computer security. We have courses giving an overview of the field, as well as in-depth courses in the systems, number theory, and computation complexity aspects of computer security. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Mississauga Department: Department of Mathematical and Computational Sciences Campus: Mississauga Campus Interested? Visit Website |
| Machine Intelligence (MI) Major | The Machine Intelligence Major is an Engineering Science Program. Engineering Science is an enriched program that provides excellent preparation for postgraduate studies in engineering and science as well as for other professional degree programs such as business, law and medicine. Program graduates are also well qualified to immediately embark on professional engineering-related careers. The Major in Machine Intelligence (MI) provides students with a cutting-edge education in mathematics, computation, computer hardware, and software engineering behind artificial intelligence (AI), machine learning, and big data analytics. Students study, develop and apply algorithms that can learn from and make decisions based on data. Students are required to have completed a total of 600 hours of acceptable practical experience before graduation (normally during their summer vacation periods). Satisfactory completion of the Professional Experience Year (PEY) Co-op Program will also completely fulfill the Practical Experience Requirement. Program: Undergraduate Program, Bachelor of Applied Science in Engineering Science Division: Faculty of Applied Science & Engineering Department: Division of Engineering Science Campus: St. George Campus Interested? Visit Website |
Management & Information Technology Specialist | The Specialist Program in Management and Information Technology is designed to give students a broad exposure to all functional areas of Management as well as a solid grounding in Computer Science. This combination of disciplines will help you understand and manage the vital intersection of business management and information technology. In the present-day management environment, expertise in information technology is extremely valuable. The Management & Information Technology program allows students to gain that expertise by pursuing a formal combination of studies in computer science and business. This 4-year Bachelor of Business Administration (BBA) degree program is primarily comprised of courses from computer science, management, economics, mathematics and statistics, and is roughly equivalent to completion of a double-major in computer science and management. Program: Undergraduate Program, Bachelor of Business Administration Division: University of Toronto Scarborough Department: Department of Management Campus: Scarborough Campus Interested? Visit Website |
Management & Information Technology Specialist (Co-operative) | The Specialist (Co-operative) Program in Management and Information Technology is designed to give students a broad exposure to all functional areas of Management as well as a solid grounding in Computer Science. This combination of disciplines will help you understand and manage the vital intersection of business management and information technology. In the present-day management environment, expertise in information technology is extremely valuable. The Management & Information Technology program allows students to gain that expertise by pursuing a formal combination of studies in computer science and business. This 4-year Bachelor of Business Administration (BBA) degree program is primarily comprised of courses from computer science, management, economics, mathematics and statistics, and is roughly equivalent to completion of a double-major in computer science and management. The Specialist (Co-operative) Program in Management and Information Technology is a Work Integrated Learning (WIL) program that combines academic studies with paid work terms in public and private enterprises. Depending on their needs and abilities, students work in areas such as accounting, public administration, auditing, communications, economic development, finance, human resources/personnel, information systems, marketing, policy, strategic planning and entrepreneurship. Program: Undergraduate Program, Bachelor of Business Administration Division: University of Toronto Scarborough Department: Department of Management Campus: Scarborough Campus Interested? Visit Website |
Management Analytics (MMA) | The professional Master of Management Analytics (MMA) degree program offers a curriculum that combines analytical depth with a focus on business issues and applications. Analytical depth is provided by courses on acquisition and structuring of data, predictive and prescriptive analytics, machine learning and big data methods, AI and deep learning, decision analysis, and simulation modelling. Courses applying analytics to business feature the use of analytics in marketing, operations, supply chain management, accounting, and finance. Students are exposed to real-life application of management analytics through the analytics practicum. The MMA degree program is offered over two sessions. Program: Professional Masters, Master of Management Analytics Division: Rotman School of Management Department: N/A Campus: St. George Campus Interested? Visit Website |
Management Analytics Major (MBA) | Master of Business Administration (MBA) students may specialize their studies by choosing to focus on an area of interest, including the Major in Management Analytics. In this MBA major, students learn the high-level analytical skills that are in demand in a wide spectrum of managerial disciplines, including marketing, strategic consulting, finance, health care and many others. Course content includes modelling and optimization for decision making; management analytics; machine learning; and forecasting models & econometric methods; among other topics. Program: Professional Masters, Master of Business Administration Division: Rotman School of Management Department: N/A Campus: St. George Campus Interested? Visit Website |
Management of Enterprise Data Analytics Certificate | The Certificate in Management of Enterprise Data Analytics teaches learners how to manage a Big Data/predictive analytics initiative; address methodology, quality control, change management and other related matters; know the important differences between data warehousing, business intelligence and Big Data; develop security, privacy and risk-management standards; apply up-to-date procedures, standards and techniques to an ongoing project. Courses are available in person. Program: Certificate Division: School of Continuing Studies Department: N/A Campus: Tri-Campus Interested? Visit Website |
Mathematical Applications in Economics and Finance Specialist | The Mathematical Applications in Economics and Finance specialist program is designed to prepare students for direct entry into the world of finance. It can also serve as a gateway to an MBA or a Master of Finance degree, possibly followed by an eventual doctorate. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Mathematics Campus: St. George Campus Interested? Visit Website |
Mathematical Finance (MMF) | In the Master of Mathematical Finance (MMF) program, students reshape their existing analytical abilities with the help of senior academics in mathematics, computer science, statistics, and engineering who have experience with the tools of mathematical finance. This cross-disciplinary approach develops graduates with a richer, more innovative approach to applied mathematics in real-world situations. Some of the faculty are seasoned practitioners from the financial industry while others are from leading firms in the financial software industry, developing applications around requirements like risk management, portfolio analysis, and the pricing of advanced derivatives. The heart of the program is the four-month internship or campus project. Working on real financial projects, students learn to integrate and apply theoretical knowledge gained earlier in the program. In the internship, students team with employees of the sponsoring firm to experience how financial mathematics impacts the decision-making processes of a financial services organization. Program: Professional Masters, Master of Mathematical Finance Division: Faculty of Arts & Science Department: N/A Campus: St. George Campus Interested? Visit Website |
Mathematics & Its Applications Specialist (Probability/Statistics) | The Specialist program in Mathematics and its Applications provides a broad basis for advanced careers in business, industry, government, and research. Students in this program acquire fluency in the language of mathematics, with its insistence on precision, and they develop expertise in the basic methodology of mathematics, which demands creative thought expressed in the framework of rigorous proof. In this program, students use the foundations of mathematics (single and multivariable calculus, linear algebra, ordinary differential equations, group theory, and analysis--real and/or complex) to specialize in their chosen area of concentration: Teaching, Physical Sciences, or Probability/Statistics. In the Probability/Statistics Concentration students acquire a strong foundation in that branch of mathematics--statistics and probability--most useful in the analysis of experimental and social data. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Mathematics Campus: St. George Campus Interested? Visit Website |
Mathematics Specialist, Statistics Stream | The Specialist Program in Mathematics provides the student with a sound foundation in the main areas of mathematics, and some exposure to computer programming and statistics. It comprises three streams: Comprehensive, Statistics, and Teaching, each serving a more specific goal. The Statistics Stream provides greater exposure to statistics, and the areas of mathematics most closely associated with it. This stream prepares students for careers in industry, or for graduate study in certain mathematically-oriented subjects, including statistics and financial mathematics. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Mathematics Specialist, Statistics Stream (Co-operative) | The Specialist Program in Mathematics provides the student with a sound foundation in the main areas of mathematics and some exposure to computer programming and statistics. It comprises three streams: Comprehensive, Statistics, and Teaching, each serving a more specific goal. The Statistics Stream provides greater exposure to statistics, and the areas of mathematics most closely associated with it. This stream prepares students for careers in industry, or for graduate study in certain mathematically-oriented subjects, including statistics and financial mathematics. The Specialist (Co-operative) Program in Mathematics is a Work Integrated Learning (WIL) program that combines academic studies with paid work terms in the public, private, and/or non-profit sectors. The program provides students with the opportunity to develop the academic and professional skills required to pursue employment in these areas or to continue on to graduate training in an academic field related to Mathematics upon graduation. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Medical Science: Health Research (GDipHR) | The Graduate Diploma in Health Research (GDipHR) provides a select group of medical students high-quality training in health research in order to understand, interpret, and apply the rapid changes in the scientific underpinnings of health care. Future physicians will gain skills relevant to contributing to health-related studies in their future careers, some of whom will become leaders of health research. Taken concurrently with the MD program, the Graduate Diploma in Health Research aims to engage medical students in health research with the intent to develop applicable knowledge and skills that will inform and support a future career in any field of health research. Program: Graduate Diploma in Health Research Division: Temerty Faculty of Medicine Department: N/A Campus: St. George Campus, Mississauga Campus Interested? Visit Website |
Put AI to Work: Managing with Machines | Put AI to Work: Managing with Machines is a two-day executive program to help learners leverage artificial intelligence and big data to set strategy and best practices, adapt systems, and manage talent to solve complex business challenges. This course is not technical and does not require programming knowledge or a computer science background. Program: Executive Program Division: Rotman School of Management Department: N/A Campus: St. George Campus Interested? Visit Website |
Risk Management and Financial Engineering Major (MBA) | Master of Business Administration (MBA) students may specialize their studies by choosing to focus on an area of interest, including the Major in Risk Management and Financial Engineering. In this MBA major, students learn about derivatives markets and how instruments such as futures and options can be used for risk management. Course content includes risk modelling, advanced derivatives, and machine learning, among other topics. Program: Professional Masters, Master of Business Administration Division: Rotman School of Management Department: N/A Campus: St. George Campus Interested? Visit Website |
Robotics & Mechatronics Minor | The Minor in Robotics and Mechatronics exposes students to the fundamental paradigms, the enabling technologies, the design, and the applications of robotics and mechatronics. The program is intended to give a comprehensive view to these fields by drawing together relevant courses from all of the engineering departments. The emphasis is on giving the student a systems view rather than a narrowly focused study of one area. Courses examine the areas of sensing and actuation, control and signal processing, computer vision, intelligent algorithms, computation, and system integration. The minor prepares students for careers in industries that have a growing investment in automation, autonomy, and intelligent systems. It is open to all students in the Faculty of Applied Science and Engineering except those in the Engineering Science Robotics Major. Program: Undergraduate Program, may be pursued as part of a Bachelor of Applied Science or Bachelor of Applied Science in Engineering Science Division: Faculty of Applied Science & Engineering Department: Department of Electrical and Computer Engineering, Department of Mechanical and Industrial Engineering, the Institute for Aerospace Studies, and the Institute of Biomaterials and Biomedical Engineering Campus: St. George Campus Interested? Visit Website |
SciNet Certificate Program | SciNet has been teaching courses on scientific technical computing and high performance computing for the Toronto-area research community since 2009. Since 2013, it offers recognition to attendees in the form of SciNet Certificates. There are currently three certificate offerings: A Certificate in Scientific Computing, a Certificate in High-Performance Computing, and a Certificate in Data Science. Program: Certificate Division: N/A Department: SciNet Campus: St. George Campus Interested? Visit Website |
Statistical Science: Methods and Practice (Specialist) | Statistical Science encompasses methods and tools for obtaining knowledge from data and for understanding the uncertainty associated with this knowledge. The purposes of the undergraduate programs are to: (1) equip students with a general framework for obtaining knowledge from data; (2) give students skills that they are able to flexibly apply to a variety of problems; and (3) to provide students with the ability to learn new methods as needs, data sources, and technology change. The Specialist Program in Statistical Science: Methods and Practice emphasizes collaborative statistical practice and advanced exposure to an allied discipline. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Statistical Sciences Campus: St. George Campus Interested? Visit Website |
Statistical Science: Theory and Methods (Specialist) | Statistical Science encompasses methods and tools for obtaining knowledge from data and for understanding the uncertainty associated with this knowledge. The purposes of the undergraduate programs are to: (1) equip students with a general framework for obtaining knowledge from data; (2) give students skills that they are able to flexibly apply to a variety of problems; and (3) to provide students with the ability to learn new methods as needs, data sources, and technology change. The Specialist Program in Statistical Science: Theory and Methods emphasizes probability and the theory of statistical inference as underlying mathematical frameworks for statistical data analysis. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Statistical Sciences Campus: St. George Campus Interested? Visit Website |
Statistics (MSc) | Students in the Statistics Master of Science (MSc) program can conduct research in the fields of 1) Statistical Theory and Applications or 2) Probability. The program offers numerous courses in theoretical and applied aspects of Statistical Sciences, which prepare students for pursuing a PhD program or directly entering the data science workforce. Program: Graduate Program (Research Stream), Master of Science Division: Faculty of Arts & Science Department: Department of Statistical Sciences Campus: Tri-Campus Interested? Visit Website |
Statistics (PhD) | Students in the PhD program can conduct research in the fields of 1) Statistical Theory and Applications or 2) Probability or 3) Actuarial Science and Mathematical Finance. The research conducted in the department is vast and covers a diverse set of areas in theoretical and applied aspects of Statistical Sciences. Students have the opportunity to work in multidisciplinary areas and team up with researchers in, for example, Biostatistics, Computer Science, Economics, Engineering, and the Rotman School of Management. The main purpose of the program is to prepare students for pursuing advanced research both in academia and in research institutes. Program: Graduate Program (Research Stream), Doctor of Philosophy Division: Faculty of Arts & Science Department: Department of Statistical Sciences Campus: Tri-Campus Interested? Visit Website |
Statistics Major | Statistical Science encompasses methods and tools for obtaining knowledge from data and for understanding the uncertainty associated with this knowledge. The purposes of the undergraduate programs are to: (1) equip students with a general framework for obtaining knowledge from data; (2) give students skills that they are able to flexibly apply to a variety of problems; and (3) to provide students with the ability to learn new methods as needs, data sources, and technology change. The Major in Statistics gives students a broad understanding of the statistical methods and computational and communication skills appropriate for effective statistical problem-solving. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: Department of Statistical Sciences Campus: St. George Campus Interested? Visit Website |
Statistics Major | Statistics is the study of the collection, organization, analysis, interpretation and presentation of data. The discipline is research-intensive and includes many interesting aspects such as probability and game theory, statistical modeling and analysis. All of these are applicable to virtually every field. The Statistics Major is a great discipline to combine with other programs, such as Health Studies, Environmental Science, Public Policy, International Development Studies, Economics or Psychology, just to name a few. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Statistics Major (Co-operative) | Statistics is the study of the collection, organization, analysis, interpretation and presentation of data. The discipline is research-intensive and includes many interesting aspects such as probability and game theory, statistical modeling and analysis. All of these are applicable to virtually every field. The Statistics Major (Co-operative) is a great discipline to combine with other programs, such as Health Studies, Environmental Science, Public Policy, International Development Studies, Economics or Psychology, just to name a few. The Major (Co-op) Program in Statistics is a Work Integrated Learning (WIL) program that combines academic studies with paid work terms in the public, private, and/or non-profit sectors. The program provides students with the opportunity to develop the academic and professional skills required to pursue employment in these areas, or to continue on to graduate training in an academic field related to Statistics upon graduation. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Statistics Minor | Statistical Science encompasses methods and tools for obtaining knowledge from data and for understanding the uncertainty associated with this knowledge. The Minor in Statistics is designed to provide students with exposure and skills in advanced statistical methods. Program: Undergraduate Program, part of an undergraduate degree program Division: Faculty of Arts & Science Department: Department of Statistical Sciences Campus: St. George Campus Interested? Visit Website |
Statistics Minor | Statistics is the study of the collection, organization, analysis, interpretation and presentation of data. The discipline is research-intensive and includes many interesting aspects such as probability and game theory, statistical modeling and analysis. All of these are applicable to virtually every field. The Statistics Minor is a great discipline to combine with other programs, such as Health Studies, Environmental Science, Public Policy, International Development Studies, Economics or Psychology, just to name a few. Program: Undergraduate Program, part of an undergraduate degree program Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Statistics Specialist, Quantitative Finance Stream | The Specialist Program in Statistics provides students with a thorough grounding in the theory underlying statistical reasoning and learn the methodologies associated with current applications. A full set of courses on the theory and methodology of the discipline represents the core of the program. In addition, students select one of two streams, each of which provides immediately useful, job-related skills. The program also prepares students for further study in Statistics and related fields. The Quantitative Finance Stream focuses on teaching the computational, mathematical and statistical techniques associated with modern-day finance. Students acquire a thorough understanding of the mathematical models that underlie financial modeling and the ability to implement these models in practical settings. This stream prepares students to work as quantitative analysts in the financial industry, and for further study in Quantitative Finance. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Statistics Specialist (Co-operative) | The Specialist Program in Statistics provides students with a thorough grounding in the theory underlying statistical reasoning and learn the methodologies associated with current applications. A full set of courses on the theory and methodology of the discipline represents the core of the program. In addition, students select one of two streams, each of which provides immediately useful, job-related skills. The program also prepares students for further study in Statistics and related fields. The Specialist (Co-operative) Program in Statistics is a Work Integrated Learning (WIL) program that combines academic studies with paid work terms in the public, private, and/or non-profit sectors. The program provides students with the opportunity to develop the academic and professional skills required to pursue employment in these areas, or to continue on to graduate training in an academic field related to Statistics upon graduation. In addition to their academic course requirements, students must successfully complete the additive Arts & Science Co-op Work Term Preparation courses and a minimum of three Co-op work terms. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Statistics Specialist, Statistical Machine Learning and Data Science Stream | The Specialist Program in Statistics provides students with a thorough grounding in the theory underlying statistical reasoning and learn the methodologies associated with current applications. A full set of courses on the theory and methodology of the discipline represents the core of the program. In addition, students select one of two streams, each of which provides immediately useful, job-related skills. The program also prepares students for further study in Statistics and related fields. The Statistical Machine Learning and Data Science Stream focuses on applications of statistical theory and concepts to the discovery (or “learning”) of patterns in data. This field is a recent development in statistics with wide applications in science and technology including computer vision, image understanding, natural language processing, medical diagnosis, and stock market analysis. This stream prepares students for direct employment in industry and government, and further study in Statistical Machine Learning. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Statistics, Applied Major | Statistical methods have applications in almost all areas of science, medicine, engineering, business, politics, psychology, law, and the environment. A practicing statistician is involved in a diversity of projects: testing the effectiveness of a new vaccine, working on the human genome project, forecasting stock yields, examining the effectiveness of television advertising, predicting election results. Today we are bombarded with information from quantitative studies, information generated from the application of statistical methodologies. While much of this information is valid, some of it is not. An understanding of applied statistics will make you a critical consumer of numbers presented by the media. A basic knowledge of statistics should be an integral part of everyone's education. Applied Statistics programs are suited for students interested in probability theory and the study of phenomena involving uncertainty. The Major program emphasizes courses is Applied Statistics. It can be a valuable additional qualification for a student taking a program in another discipline. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Mississauga Department: Department of Mathematical and Computational Sciences Campus: Mississauga Campus Interested? Visit Website |
Statistics, Applied Minor | Statistical methods have applications in almost all areas of science, medicine, engineering, business, politics, psychology, law, and the environment. A practicing statistician is involved in a diversity of projects: testing the effectiveness of a new vaccine, working on the human genome project, forecasting stock yields, examining the effectiveness of television advertising, predicting election results. Today we are bombarded with information from quantitative studies, information generated from the application of statistical methodologies. While much of this information is valid, some of it is not. An understanding of applied statistics will make you a critical consumer of numbers presented by the media. A basic knowledge of statistics should be an integral part of everyone's education. The Applied Statistics Minor program is suited for students interested in probability theory and the study of phenomena involving uncertainty. Program: Undergraduate Program, part of an undergraduate degree program Division: University of Toronto Mississauga Department: Department of Mathematical and Computational Sciences Campus: Mississauga Campus Interested? Visit Website |
Statistics, Applied Specialist | Statistical methods have applications in almost all areas of science, medicine, engineering, business, politics, psychology, law, and the environment. A practicing statistician is involved in a diversity of projects: testing the effectiveness of a new vaccine, working on the human genome project, forecasting stock yields, examining the effectiveness of television advertising, predicting election results. Today we are bombarded with information from quantitative studies, information generated from the application of statistical methodologies. While much of this information is valid, some of it is not. An understanding of applied statistics will make you a critical consumer of numbers presented by the media. A basic knowledge of statistics should be an integral part of everyone's education. Applied Statistics programs are suited for students interested in probability theory and the study of phenomena involving uncertainty. The Applied Statistics Specialist Program at U of T Mississauga provides students with a solid foundation in the fundamental aspects of probability and introduces students to a broad range of applied statistics methodologies. The Specialist program is designed for students intending to follow a career as a statistician, either immediately on graduate, or after further post-graduate study. Program: Undergraduate Program, part of an undergraduate degree program Division: University of Toronto Mississauga Department: Department of Mathematical and Computational Sciences Campus: Mississauga Campus Interested? Visit Website |
Focus in Data Science in Business | This is a focus in data science in business that can be taken as part of any of the 3 specialists (Management, Accounting, and Finance & Economics) in the Rotman Commerce program. It requires taking 1.0 credit of required courses in programming and data analytics tools and then allows students to choose 1.5 credits of elective courses applying these tools to various areas in management and economics. Program: Undergraduate Program, Bachelor of Commerce Division: Rotman School of Management Department: N/A Campus: St. George Campus Interested? Visit Website |
Quantitative Biology Major | The Quantitative Biology Major program is designed for students with a deep interest in biology who wish to gain a strong grounding in quantitative methods and their application to biological questions. More than ever, advancements in biology, from the molecular through the organismal to the ecosystem level, require quantitative thinking and skills along with a strong understanding of biological processes. Interdisciplinary research that draws from the natural sciences, mathematics, statistics and computer science, is an important aspect of modern biology. This major provides foundations in biology and quantitative approaches used to test and advance biological knowledge, and is appropriate for students who wish to pursue a career or graduate studies in a broad range of life sciences, ranging from biomedical to conservation to epidemiology. The program is delivered through a mixture of classroom learning and applied laboratory teaching, with an emphasis on understanding how quantitative methods inform our understanding of biology, and how they can be applied to test and develop new hypotheses. Students also have access to independent research opportunities that enhance professional skills, science communication, and the development and application of knowledge in quantitative biology. Program: Undergraduate Program, Honours Bachelor of Science Division: Faculty of Arts & Science Department: N/A Campus: St. George Campus Interested? Visit Website |
Certificate in Computational Social Science | Computational social science extends theories and analyses from the social science by leveraging tools and techniques from scientific computing and data science. The Certificate in computational social science provides students with training in statistics, modeling, and programming approaches to the analysis of social problems using data, and fosters critical thinking and communication skills crucial to social science research. There are two types of for-credit certificates: Category 1 is a post-baccalaureate, stand-alone certificate that normally requires completion of an undergraduate degree, or equivalent, for admission; Category 2 is a certificate that is offered in conjunction with an undergraduate degree program or programs. Program: Undergraduate Program, Honours Bachelor of Arts | Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Sociology Campus: Scarborough Campus Interested? Visit Website |
Statistics Specialist, Statistical Science Stream | The Specialist progra m in Statistics provides training in the discipline of Statistics. Students are given a thorough grounding in the theory underlying statistical reasoning and learn the methodologies associated with current applications. A full set of courses on the theory and methodology of the discipline represents the core of the program. In addition, students select one of three streams, each of which provides immediately useful, job-related skills. The program also prepares students for further study in Statistics and related fields. The Statistical Science Stream is concerned with giving students a sound grounding in statistical methodology and theory. Students acquire expertise in the proper collection of data, the methods used to analyze data to answer scientific questions of interest, and the theory that underlies these activities. The program provides preparation for employment as a statistician or for further graduate studies in statistics. Program: Undergraduate Program, Honours Bachelor of Science Division: University of Toronto Scarborough Department: Department of Computer and Mathematical Sciences Campus: Scarborough Campus Interested? Visit Website |
Technology, Coding & Society Major | The Technology, Coding, and Society (TCS) major program focuses on the impact of technologies, including hardware, platform and associated software, on people and on society more generally. Students learn essential computer coding skills, are taught theories on the use of digital platforms from humanistic and social science perspectives, learn to analyze the data that digital platforms produce, and then apply these concepts through practical labs and through optional work-integrated learning opportunities. Since the TCS Major is within the Institute of Communication, Culture, Information and Technology (ICCIT), students can concurrently obtain a Professional Experience Certificate in Digital Media, Communication, and Technology from ICCIT. Program: Undergraduate Program, Honours Bachelor of Arts Division: University of Toronto Mississauga Department: Institute of Communication, Culture, Information and Technology (ICCIT) Campus: Mississauga Campus Interested? Visit Website |
