The program information below is valid for the fall 2017 term (September 1, 2017 - December 31, 2017).

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.
  • 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)

    Thesis option:

  • Graduate Academic Integrity Module (Graduate AIM)
  • Courses 
    • Required courses:
      • ACC 770 Finance 1/ACTSC 970 Finance 1
      • ACC 771 Finance 2/ACTSC 971 Finance 2
    • Elective courses:
      • 2 courses (0.50 unit weight) approved by the student’s academic advisor.
    • Students must obtain an overall average of at least 75% in the courses presented in fulfilment of the degree requirements.
  • Link(s) to courses
  • Master’s Thesis
    • Students will be required to submit a thesis proposal by the end of their second term of study.

    Master's Research Paper option:

  • Graduate Academic Integrity Module (Graduate AIM)
  • Courses 
    • Required courses:
      • ACC 770 Finance 1/ACTSC 970 Finance 1
      • ACC 771 Finance 2/ACTSC 971 Finance 2
      • ACC 772 Finance 3/ACTSC 972 Finance 3
      • STAT 850 Estimation and Hypothesis Testing
      • STAT 901 Theory of Probability 1
      • STAT 902 Theory of Probability 2
      • STAT 906 Computer Intensive Methods for Stochastic Models in Finance
      • STAT 974/ACTSC 974 Financial Econometrics
    • Elective courses: students are required to take 1 additional graduate level course (0.50 unit weight) approved by the student’s academic advisor. Recommended course electives include:
      • CS 676 Numeric Computation for Financial Modelling
      • ACTSC 845 Quantitative Risk Management
      • ACTSC 846 Mathematical Models in Finance
    • Students must obtain an overall average of at least 75% in the courses presented in fulfilment of the degree requirements.
  • Link(s) to courses
  • Master’s Research Paper
  • Other requirements 
    • Normally, this program consists of two academic terms (Fall and Winter), followed by a work term with an industrial partner in the Spring term, and then one additional academic term (Fall).