eINFO

Nouveaux programmes

Environmental Studies

A major in Environmental Studies (BA) focusing on the social context and potential solutions to problems in the environment.  It will build the foundation on different topics related to socioeconomics and environmental science, while integrating insights from different disciplines, nurturing an interdisciplinary way of thinking. The program also includes many opportunities for experiential learning through problem-solving case studies, team-based projects and individual research.

Application Selection

• Non-co-op option only: OUAC code TSP (Sciences: Physical, Mathematical and Environmental Sciences)

Health Informatics

Health Informatics is a stream in the Computer Science specialist program (BSc) that provides a broad perspective of the Computer Science field and exposure to additional subjects, including statistics and social sciences, that are useful for a career as a computer scientist in the health sector.  This program is intended for students interested in the application of information technology to improve health care delivery, system efficiency, quality of care and clinical outcomes.

Application Selection

• Non-co-op and co-op options: OUAC code non-co-op TXC; co-op TSC (Sciences: Computer Science, Mathematics & Statistics)

Quantitative Finance

In addition to providing a sound understanding of modern statistical theory and methodology, the Quantitative Finance stream in the Statistics specialist program (BSc) will give students an in-depth theoretical understanding of the core concepts of quantitative finance. The practical and computational aspects of the concepts will be emphasized so that students graduate ready to apply their skills. This program differs from similar programs offered at U of T and other institutions, as it provides more of the mathematical, statistical, and computer science background that underlies the concepts of quantitative finance. Due to its applied nature, this stream is an attractive option for students interested in co-op.

Application Selection

• Non-co-op and co-op options: OUAC code non-co-op TXC; co-op TSC (Sciences: Computer Science, Mathematics & Statistics)

Machine Learning and Data Mining Stream

The Machine Learning and Data Mining stream in the Statistics specialist program (BSc) is a dynamic, high-demand, and fast-growing field that lies at the intersection of statistics and computational sciences.  It is driven by applied problems in science and technology, where data streams are increasingly large-scale, high-dimensional and heterogeneous. This specialist stream will be quite distinctive: we are not aware of a similar program currently offered elsewhere. Employment prospects for graduates in this field are excellent, and this stream is an attractive option for students interested in co-op.

Application Selection

• Non-co-op and co-op options: OUAC code non-co-op TXC; co-op TSC (Sciences: Computer Science, Mathematics & Statistics)

Population Health

As part of an initiative to offer a broader spectrum of programs that better prepare students for further education and careers in the health sector, the Population Health (BSc) stream was created to expand the focus and depth of the existing Health Studies Major program. UTSC is working to further develop relationships with the health sector in Toronto (both inside and outside of the university) in order to provide enhanced experiential opportunities for students. Among these opportunities, co-op placements and research projects will be especially important.

Application Selection

• Non-co-op and co-op options: OUAC code non-co-op TSS; co-op TXA (Social Sciences)

Health Policy

As part of an initiative to offer a broader spectrum of programs that better prepare students for further education and careers in the health sector, the Health Policy (BA) stream was created to expand the focus and depth of the existing Health Studies Major program. UTSC is working to further develop relationships with the health sector in Toronto (both inside and outside of the university) in order to provide enhanced experiential opportunities for students. Among these opportunities, co-op placements and research projects will be especially important.

Application Selection

• Non-co-op and co-op options: OUAC code non-co-op TSS; co-op TXA (Social Sciences)