Master of Quantitative Finance (MQF)

The program information below was valid for the spring 2019 term (May 1, 2019 - August 31, 2019). 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.

• Admit term(s) 
  • Fall
• Delivery mode 
  • On-campus
• Program type 
  • Master's
  • Professional
• Registration option(s) 
  • Full-time
• Study option(s) 
  • Thesis
  • Master's Research Paper

• 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)

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

• Actuarial Science (ACTSC) courses
• Statistics (STAT) 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

• Actuarial Science (ACTSC) courses
• Statistics (STAT) courses

Graduate Studies Internship

• The Master’s Research Paper option consists of two academic terms (fall and winter), followed by a required work term in the spring term, and then one additional academic term (fall).

Master’s Research Paper