|Department/School||Statistics and Actuarial Science|
|Faculty||Faculty of Mathematics|
|Admit term(s)||Fall (September - December)|
|Application and document submission deadline(s)||
January 15 (for admission in September)
|Program type||Master's, Professional|
|Length of program||16 months (full-time)|
|Study option(s)||Thesis, Master's Research Paper|
|Research field(s) - Graduate research fields are used to better define a student’s research concentration||
Mathematical and Computational Finance
Statistics and Probability
What does it take to get in?
Minimum admission 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.
- Review the finding a supervisor resources
- Supplementary information form (SIF)
- The SIF contains questions specific to your program, typically about why you want to enrol and your experience in that field. Review the application documents web page for more information about this requirement
- If a statement or letter is required by your program, review the writing your personal statement resources for helpful tips and tricks on completion
- Three references are required, at least two academic
- Proof of English language proficiency, if applicable
- TOEFL 100 (writing 26, speaking 26), IELTS 7.5 (writing 7.0, speaking 7.0)
How much will it cost?
- Use the student budget calculator to estimate your cost and resources
- Visit the graduate program tuition page on the Finance website to determine the tuition and incidental fees per term for your program
- Review the study and living costs
- Review the funding graduate school resources for graduate students
What can you expect at Waterloo?
- Review the degree requirements on the Graduate Studies Academic Calendar, including the courses that you can anticipate taking as part of completing the degree
- Check out profiles of current graduate students to learn about their experience at Waterloo
- Check out Waterloo's institutional thesis repository - UWspace to see recent submissions from the Department of Statistics and Actuarial Science graduate students
- Check out the Waterloo campus and city tours
- Review the Department of Statistics and Actuarial Science website to see information about supervisors, research areas, news, and events