Statistics: Machine Learning & Data Mining Stream, Quantitative Finance Stream

Statistics

Program Summary

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 new Machine Learning and Data Mining stream provides a specialist program in 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 is quite unique; we are not aware of a similar program currently offered elsewhere.

Also, the new Quantitative Finance stream will give students an in-depth theoretical understanding of the core concepts of quantitative finance. 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.

Employment prospects for graduates in these fields are excellent, and students interested in Co-op are encouraged to consider these streams. Studying Statistics is an excellent choice for students with strong quantitative skills and an interest in applying these skills to solve practical problems.

Program Details

Degree Offered: Honours Bachelor of Science
Offered as Co-op: Yes
Program Options: Specialist

Program Admissions

Admissions Category: Computer Science, Mathematics & Statistics
Supplementary Application Form Required: No
Admission Prerequisites: Advanced Functions, Calculus & Vectors, English
Approximate Grade Requirements: Low 80s (Non Co-op) / Mid 80s (Co-op)
OUAC Application Code: TXC (Non Co-op) / TSC (Co-op)

Student Experience

Career Options: Program Tipsheet
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