Master of Mathematics (MMath) in Biostatistics

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.

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

• 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

• Statistics (STAT) 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.