The program information below is valid for the spring 2018 term (May 1, 2018 - August 31, 2018).

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.

Fields (areas of research)

  • 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)