Graduate Programs


Overview

The Department of Statistics at the University of Toronto is among the top ten Statistics Departments in North America and considered the top Department in the country.

Statistical Science involves the study of random phenomena and as such 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.

The Department of Statistics offers opportunities for study and research in the areas of (a) Statistical Theory and Applications, and (b) Probability leading to the Master of Science and the Doctor of Philosophy degrees and Actuarial Science and Mathematical Finance leading to a Doctor of Philosophy. Below you will find a synopsis of the various programs of study and links to more details. Admissions to all programs are on a competitive basis and follow the standard guidelines of the School of Graduate studies.

“As one of the top Statistical Sciences Department, we receive many excellent applicants and can only admit a very limited number of international students. Successful candidates have exceptional mathematical and statistical training with outstanding performance in their course work, outstanding letters of recommendations and well thought out statements of interests. As well, prior research experience is very valuable.”

Here are some frequently asked questions about the program, fees, funding and supervision.

Here are some additional frequently asked questions from the SGS website.

Graduate Courses

The Department offers a diverse array of theoretical and applied courses in Statistics, Probability, Actuarial Science and Mathematical Finance.

Course Offerings

Forms

Add Drop Course(s) 

Request for Reading and or Research Course

NEW!

Commencement of PhD Thesis Supervision

PhD Advisory Committee Assessment Form

Extension+to+Complete+Coursework revised form

Extension+to+Achieve+Candidacy

Leave+of+Absence

Letter+Confirming+Degree

***

PLEASE NOTE:

“Electronic copies of transcripts are required at the time of application. If you are successful at gaining admissions, only then will we require official copies to be mailed to the department.”

MSc Program Information

The Department offers full and part-time programs at the MSc level. The full-time program normally takes 2 academic sessions (totaling 8 months from September to April) to complete, while the part-time program normally takes 6 academic sessions (totaling 20 months from September to April two years later).

Both programs require completing 4.0 full course equivalents (FCEs) – the analog of 8 one semester courses. Normally students in the full-time program take 2.0 FCEs per session, while students in the part-time program take 1.0 FCEs per session. There is no thesis component, however, students are encouraged to take one project based course if they are considering going on to a PhD.

More information can be found in the links below:

PhD Program Information

The Department offers full-time programs at the PhD level in three fields

  1. Statistical Theory and Applications
  2. Probability, and
  3. Actuarial Science and Mathematical Finance.

All fields require (i) the completion of 3.0 full course equivalents (FCEs) – the analog of 6 one semester courses – (ii) passing three comprehensive examinations and (iii) completing and successfully defending a thesis constituting a significant contribution to the field of the study. Normally, this program takes 12 academic sessions (4 years) to complete. Course work and comprehensive examinations are normally completed in the first year of study; however, students are encouraged to continue taking courses suiting their interest throughout the remainder of their study. Thesis work normally begins at the end of the first academic year after completing the comprehensive examinations; though, students are highly encouraged to begin discussing ideas and topics with faculty members from the time they arrive.

More information can be found in the links below:


Textbooks

Please see the instructor for Texbooks


Financial Support


Resources

Print Friendly