The program information below was valid for the winter 2020 term (January 1, 2020 - April 30, 2020). This is the archived version; the most up-to-date program information is available through the current Graduate Studies Academic Calendar.

The Graduate Studies Academic Calendar is updated 3 times per year, at the start of each academic term (January 1, May 1, September 1). Graduate Studies Academic Calendars from previous terms can be found in the archives.

Students are responsible for reviewing the general information and regulations section of the Graduate Studies Academic Calendar.

Graduate research fields

  • Mathematical and Computational Finance
  • Statistics and Probability
  • Admit term(s) 
    • Fall
  • Delivery mode 
    • On-campus
  • Program type 
    • Master's
    • Professional
  • Registration option(s) 
    • Full-time
  • Study option(s) 
  • Minimum requirements 
    • An overall 80% average from a Canadian University (or its equivalent).
    • A four-year honour's Bachelor's degree (or equivalent) with a strong background in quantitative methods. Such a background may be in mathematics, statistics, actuarial science, computer science, economics, engineering, physics, provided there is a strong component of high level mathematics in the program. Strong communication skills are also highly desirable.
    • An interview and diagnostic test may be required.
  • Application materials 
    • Résumé
    • Supplementary information form
    • Transcript(s)
  • References 
    • Number of references:  3
    • Type of references: 

      at least 2 academic

  • English language proficiency (ELP) (if applicable)