Mathematics and Statistics - Statistics University of Ottawa

Overview

The Mathematics and Statistics - Statistics M.Sc. at the University of Ottawa provides a comprehensive graduate education within a globally recognised research environment. This programme is delivered through the Ottawa-Carleton Institute of Mathematics and Statistics, a joint initiative that pools the extensive resources and expertise of two major universities. Students benefit from a diverse range of advanced courses and the opportunity to work alongside professors who are leaders in their respective fields.

Why Mathematics and Statistics - Statistics at University of Ottawa?

The University of Ottawa ranks among the top research-intensive institutions in Canada, offering a vibrant academic atmosphere for graduate students. The Department of Mathematics and Statistics represents most major research fields, ensuring students have access to high-level expertise in both theoretical and applied statistics. Through the joint institute, learners can access a broader selection of graduate modules and facilities across the capital region.

The Faculty of Science serves as a centre of excellence, hosting world-class core facilities for computational research and data analysis. Students are also connected to prestigious organisations such as the Fields Institute for Research in Mathematical Science. This collaborative environment is designed to foster innovation and provide the infrastructure necessary for high-impact mathematical research.

Tuition Fee Breakdown

• International fee: CAD 9721 per semester
• National fee: CAD 2844 per semester

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

• Robust Statistical Inference
• Data Mining
• Modern Applied and Computational Statistics
• Sampling Theory and Methods
• Linear Models
• Design of Experiments
• Multivariate Analysis
• Nonparametric Statistics
• Mathematical Statistics

Careers with Mathematics and Statistics - Statistics

Graduates of this programme are well-equipped for professional roles that require sophisticated data analysis and mathematical modelling. The rigorous training in statistical inference and computational methods prepares students for careers in the public and private sectors, including government agencies, research institutes, and the technology industry. Many graduates find success as statisticians, data scientists, or research analysts, while others choose to pursue doctoral studies through the fast-track option.