Graduate studies | Our programs | Master of Mathematics
Program Details
MMath in Actuarial Science
Who is it for?
The MMath in Actuarial Science is a research-based degree program for applicants with a background in actuarial science, statistics, mathematics, or other quantitative fields.
What does it take to get in?
A four-year Bachelor's degree in a quantitative discipline such as statistics, actuarial science, mathematics, engineering, etc. with a minimum average of 78%. International students can review the admission equivalencies to determine the requirements for their country.
What options are available?
Thesis:
All students are enrolled into the Research Paper stream. Those interested in the thesis option can request a switch after the first term, normally an average of 90% or higher is required. Approval from the department and supervisor is required.
When should I apply?
Application deadline: January 15th for fall admissions (there are no Winter or Spring admissions)
MMath in Biostatistics
Who is it for?
This program is for students interested in the development and application of statistical methods to solve problems arising in health, biology, and the environment. Graduates find employment in pharmaceutical companies, contract research organizations, regional or national centers for health research, academic centers, and public health agencies.
What does it take to get in?
A four-year Bachelor's degree in a quantitative discipline such as statistics, actuarial science, mathematics, engineering, etc. with a minimum average of 78%. International students can review the admission equivalencies to determine the requirements for their country.
What options are available?
Thesis:
All students are enrolled into the Research Paper stream. Those interested in the thesis option can request a switch after the first term, normally an average of 90% or higher is required. Approval must be granted by the supervisor and department.
Co-op:
Students can request a switch to the co-op stream after their first term in the program. Approval must be granted by the supervisor and department.
When should I apply?
Application deadline: January 15th for fall admissions (there are no Winter or Spring admissions)
MMath in Statistics
Who is it for?
This program is for students interested in studying and creating new methods of collecting, analyzing, interpreting and presenting data. Graduates from this program find employment as statisticians or data scientists in government, medical, technology or finance sectors, or transition into our PhD program or PhD programs at other top universities.
What does it take to get in?
A four-year Bachelor's degree in a quantitative discipline such as statistics, actuarial science, mathematics, engineering, etc. with a minimum average of 78%. International students can review the admission equivalencies to determine the requirements for their country.
What options are available?
Thesis:
All students are enrolled into the Research Paper stream. Those interested in the thesis option can request a switch after the first term, normally an average of 90% or higher is required. Approval must be granted by the supervisor and department.
Co-op:
Students can request a switch to the co-op stream after their first term in the program. Approval must be granted by the supervisor and department.
When should I apply?
Application deadline: January 15th for fall admissions (there are no Winter or Spring admissions)
Research Areas
Actuarial Science
- Capital allocation
- Portfolio optimization
- Pricing and hedging of investment-linked products
- Risk management
- Ruin theory
- Stochastic modelling
- Monte Carlo and quasi-Monte Carlo
Biostatistics
- Analysis of life history data
- Causal inference
- Clustered data
- Design and analysis of clinical trials
- Epidemiological studies
- Longitudinal data analysis
- Methods for dealing with incomplete data and measurement error
- Studies of biological systems
Statistics
- Artificial intelligence
- Business and industrial statistics
- Computational statistics
- Data science
- Machine learning
- Probability
- Statistical modeling and inference
- Survey methods