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Statistics

Program Overview

Statistical Sciences involves the study of random phenomena and encompasses a broad range of scientific, industrial, and social processes. As data become ubiquitous and easier to acquire, particularly on a massive scale, models for data are becoming increasingly complex. The past several decades have witnessed a vast impact of statistical methods on virtually every branch of knowledge and empirical investigation.

​There are also opportunities for study and research in the fields of (a) Statistical Theory and Applications and (b) Probability, leading to the Master of Science and Doctor of Philosophy degrees, and (c) Actuarial Science and Mathematical Finance, leading to the Doctor of Philosophy degree. Please visit the departmental website for further details about the fields offered, the research being conducted, and the course offerings.

The department has substantial computing facilities available and operates a statistical consulting service for the University’s research community. Programs of study may involve association with other departments such as Astronomy & Astrophysics, Computer Science, Economics, Engineering, Environment, Information, Management, Mathematics, Philosophy, Psychology, Public Health, and Sociology. The department maintains an active seminar series and strongly encourages graduate student participation.

PhD applicants will be able to select up to three potential supervisors at the time of their applications. Supervisors are then matched and assigned by the department upon acceptance of offer to the PhD program based on research areas of interest.


Quick Facts

Domestic International
Application deadline PhD:

22-Nov-2022
Fall 2023 entry

MSc:

22-Jan-2023
Fall 2023 entry

PhD:

22-Nov-2022
Fall 2023 entry

MSc:

22-Jan-2023
Fall 2023 entry

Minimum admission average MSc:

mid-B in final year of bachelor’s

PhD:

B+ average in Master’s

 

MSc:

mid-B in final year of bachelor’s

PhD:

B+ average in Master’s

 

Direct entry option from bachelor's to PhD? PhD:

Yes (minimum A-minus average in bachelor’s degree)

PhD:

Yes (minimum A-minus average in bachelor’s degree)

Is a supervisor identified before or after admission? PhD:

Before

PhD:

Before

If a supervisor is identified after admission (as per question above), is admission conditional upon securing a supervisor? PhD:

No

PhD:

No

Is a supervisor assigned by the graduate unit or secured by the applicant? PhD:

Graduate Unit

PhD:

Graduate Unit

Are any standardized tests required/recommended? MSc, PhD:

N/A

MSc, PhD:

N/A


Cedric Beaulac

“Toronto has become one of the major research centres for AI in North America.”

Cedric Beaulac
PhD Candidate, Statistical Sciences
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