Why Mathematics and Statistics at uOttawa?
Our students experience a rich academic environment to study mathematics and statistics under the supervision of professors, who have gained an international reputation for their research.
Conduct leading-edge research
Students can study our MSc and PhD in Mathematics or Statistics options or choose to pursue specializations in an MSc in Bioinformatics or Biostatistics. The main areas of study include:
- Applied Mathematics
- Pure Mathematics
- Probability and Statics
The program is strengthened by an affiliation with three of Canada’s most prestigious mathematics research institutes: le Centre de recherches Mathématiques de l’Université de Montréal, the Fields Institute for Research in Mathematical Sciences and the Canadian Statistical Sciences Institute.
Benefit from a joint graduate institute
The Department offers MSc and PhD programs through the Ottawa-Carleton Institute of Mathematics and Statistics. As a joint graduate institute, between uOttawa and Carlton University, students can choose from advanced courses offered by the two departments.
Highly qualified students can benefit from competitive financial support packages and teaching assistantships.
The research interests in applied mathematics of our faculty members cover a large spectrum of the field. Some members of the applied mathematics group work on Quantum Information Theory. For those more interested in life sciences, a group of young mathematical biologists pursue research in population health and animal habitats. Finally, the traditional fields of differential equations and numerical analysis are well represented by senior researchers.
Probability and Statistics
The research interests of faculty members at the University of Ottawa are varied and span in part the current fields of theoretical and applied areas of probability and statistics. Young researchers interested in applied fields, including biostatistics, population genetics, comparative genomics and genetic mapping, will find much to intrigue them. At the same time, those with a passion for theoretical developments will be challenged by problems in machine learning, computational statistics, data mining and random matrix theory. Those with interests in more traditional areas will study the many daunting questions posed by limit theorems, Markov chain and Monte Carlo methods, nonparametric Bayesian inference, nonparametric statistics, sequential analysis, stochastic processes, time series analysis and more. Challenges await you no matter which direction you choose, and the faculty will be there to advance your career. You will only be limited by your own imagination.
The Department has active research groups in several areas of pure mathematics, including: algebra, algebraic topology, analysis, analytic and algebraic number theory, contact geometry, differential geometry, discrete mathematics, graph theory, and logic and foundations of computing. Within algebra, our faculty has a cluster specializing in Lie theory and representation theory, which includes Lie algebras, Jordan algebras, algebraic geometry, group theory, representation theory, number theory, and quantum groups. Members of the analysis cluster study the structure and classification of C*-algebras, deterministic and stochastic dynamics on algebraic and geometric structures, topological dynamical systems, and more.
Master's in Mathematics and Statistics
- Master of Science Mathematics and Statistics Concentration in Mathematics
- Master of Science Mathematics and Statistics Concentration in Statistics
- Master of Science Mathematics and Statistics Specialization in Bioinformatics
- Master of Science Mathematics and Statistics Specialization in Biostatistics