The program information below was valid for the spring 2016 term (May 1, 2016 - August 31, 2016). 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.
Fields (areas of research)
- Computational Statistics
- Statistical Theory and Methods
- Study option(s)
- 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).
- Supplementary information form
- Number of references: 3
Type of references:
normally from academic sources.
English language proficiency (ELP) (if applicable)
- Graduate Academic Integrity Module (Graduate AIM)
- Students must complete 7 one-term (0.50 unit weight) courses with an overall average of at least 70%.
- 6 of the 7 required courses must include:
- STAT 831 Generalized Linear Models and Applications
- STAT 837 Analysis of Longitudinal Data in Health Research
- STAT 850 Estimation and Hypothesis Testing
- STAT 931 Statistical Methods for the Design and Analysis of Epidemiological Studies
- STAT 932 Statistical Methods for the Design and Analysis of Randomized Intervention Trials
- STAT 935 Analysis of Survival Data
- Students must also complete 1 of the following courses:
- STAT 830 Experimental Design
- STAT 844 Statistical Learning - Function Estimation
- STAT 854 Sampling Theory and Practice
- STAT 938 Statistical Consulting
- Link(s) to courses
- Graduate Skills Workshop
- Master’s Research Paper