Master of Mathematics (MMath) in Biostatistics - Co-operative Program

The program information below was valid for the spring 2023 term (May 1, 2023 - August 31, 2023). 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.

Students are responsible for reviewing the general information and regulations section of the Graduate Studies Academic Calendar.

Graduate research fields

  • Biostatistics
  • Computational Statistics
  • Probability
  • Statistical Theory and Methods

Program information

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

Admission requirements

  • 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)

Degree requirements

    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 - Advanced Regression
      • 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
  • Master’s Co-op Project
    • Students with a strong interest in applied statistics are encouraged to consider the co-operative option.
    • Participants gain valuable experience as practicing statisticians through employment in business, industry, government or a research laboratory for a period of eight months (normally, two consecutive work terms). The usual pattern of study and work consists of two academic terms, two work terms, and a final academic term.
    • Students must write a report which describes some aspect of their work term experience. Credit for the Master's Co-op Project can only be obtained by submitting a report to the Department Graduate Office.
    • An extension of the Master's Co-op Project report may be submitted in order to satisfy the research paper requirement of the MMath degree. 
  • 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.
Department of Statistics and Actuarial Science website