The Master of Science program aims to provide students with an intensive advanced education in the areas of Mathematics and Statistics in preparation for doctoral studies or the job market. Students can follow either the Mathematics stream or the Statistics stream. In research output, the Department is currently in the top three in its category among Ontario universities as ranked by Canadian University Publications.
Specializations
Mathematics
- Cellular automata, discrete dynamical systems and complex networks
- Computational methods for solving algebraic and differential systems
- Cryptography
- Graph theory and algorithmic game theory
- Group and ring theory
- High-performance parallel computing
- Mathematical music theory
- Mathematical physics and general relativity
- Mathematics education
- Nonlinear functional analysis and applications to optimization,
game theory, mathematical economics, and differential systems - Probability and measure theory
- Solitons and integrability of partial differential equations
- Symmetry analysis and computer algebra applied to nonlinear
differential equations
Statistics (also includes Data Science)
- Statistical Inference Methods and Applications
- Computational methods and applications to stochastic models
- Convergence and Efficiency of Markov Chain Monte Carlo Algorithms
- Machine learning
- Predictive biology/ecology
Entry point:
- January/September
Duration:
- Thesis – 6 terms (2 years)
- Project – 6 terms (2 years)
This program is funded for the defined length above, as outlined on our financial page.
Application deadline:
- February 1 for September entry
- November 30 for January entry
Applications are accepted until the program is full and may be looked at on a first-come, first-served basis submitted after the deadline. Applications typically open in October.
