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.
How long is the program?
Students are expected to complete their degree in three academic terms (12 months). Students in the thesis option are allowed one additional academic term.
When should I apply?
Priority application deadline: December 15th. Applications must be completed by this date with all documents uploaded to be considered for early admission, invitation to our Grad Visit Day, and entrance awards.
Final application deadline: January 6th 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?
Master's Research Paper
How long is the program?
Students are expected to complete their degree in three academic terms (12 months).
When should I apply?
Priority application deadline: December 15th. Applications must be completed by this date with all documents uploaded to be considered for early admission, invitation to our Grad Visit Day, and entrance awards.
Final application deadline: January 6th 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.
How long is the program?
Students are expected to complete their degree in three academic terms (12 months). Students in the thesis option are allowed one additional academic term.
When should I apply?
Priority application deadline: December 15th. Applications must be completed by this date with all documents uploaded to be considered for early admission, invitation to our Grad Visit Day, and entrance awards.
Final application deadline: January 6th for fall admissions (there are no Winter or Spring admissions).
Research Areas
Actuarial Science and Quantitative Finance
- Climate & Catastrophe Risk
- Insurance risk & Ruin theory
- Life insurance & Mortality Modelling
- Mathematical Finance
- Predictive Analytics & Monte Carlo Simulation
- Quantitative Finance & Econometrics
- Quantitative Risk Management
- Stochastic Processes & Probability
Biostatistics
- Bayesian Methods in Health
- Bioinformatics
- Causal Inference
- Epidemiology & Public Health
- Meta-Analysis & Evidence Synthesis
- Machine Learning
- Personalized Medicine
- Spatiotemporal & Functional Modeling
- Survival, Life History & Longitudinal Data Analysis
Statistics
- Applied Statistics
- Bayesian Statistics
- Business & Industrial Statistics
- Computational Statistics
- High-dimensional & Functional Data
- Machine Learning & Data Science
- Mathematical Statistics & Probability Theory
- Survey Methodology
- Theoretical Foundations of Data Science
- Time Series Analysis
- Visualization