Master of Mathematics (MMath) in Biostatistics

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

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.

Graduate research fields

  • Biostatistics
  • Computational Statistics
  • Probability
  • Statistical Theory and Methods
  • Admit term(s) 
    • Fall
  • Delivery mode 
    • On-campus
  • Program type 
    • Master's
    • Research
  • Registration option(s) 
    • Full-time
    • Part-time
  • Study option(s) 
  • Minimum requirements 
    • A four-year Honours Bachelor degree with a significant statistics and/or actuarial science component.
    • An overall 78% average from a Canadian university (or its equivalent).
    • An interview may be required.
  • Application materials 
    • Résumé
    • Supplementary information form
    • Transcript(s)
  • References 
    • Number of references:  3
    • Type of references: 

      normally from academic sources

  • English language proficiency (ELP) (if applicable)

    Master's Research Paper option:

  • Graduate Academic Integrity Module (Graduate AIM)
  • Courses 
    • Students must complete 7 one-term (0.50 unit weight) courses with an overall average of at least 70%.
    • 5 of the 7 required courses must include:
      • STAT 831 Generalized Linear Models and Applications
      • STAT 850 Estimation and Hypothesis Testing
      • STAT 931 Causal Inference and Epidemiological Studies
      • Students must choose 2 of the following courses:
        • STAT 932 Classification and Prediction in High Dimensional Analysis in Health Research
        • STAT 935 Analysis of Survival Data
        • STAT 936 Analysis of Longitudinal Data
    • Students must also complete an additional 2 of the following courses:
      • STAT 830 Experimental Design
      • STAT 844 Statistical Learning - Function Estimation
      • STAT 854 Sampling Theory and Practice
      • STAT 932 Classification and Prediction in High Dimensional Analysis in Health Research
      • STAT 935 Analysis of Survival Data
      • STAT 936 Analysis of Longitudinal Data
      • STAT 938 Statistical Consulting
      • STAT 946 Topics in Probability and Statistics
      • STAT 947 Topics in Biostatistics
  • Link(s) to courses
  • Graduate Skills Workshop
  • Master’s Research Paper
    • Students must complete a research paper that will be given a numeric grade which appears on the transcript beside the milestone.