Mathematics and Statistics - Bioinformatics University of Ottawa

Overview

The Mathematics and Statistics - Bioinformatics programme at the University of Ottawa provides a sophisticated academic environment for students to pursue advanced research in computational biology. This collaborative specialization allows graduates to bridge the gap between mathematical theory and biological application, fostering innovation in health and industry. Students benefit from the combined resources of the Ottawa-Carleton Institute of Mathematics and Statistics.

Why Mathematics and Statistics - Bioinformatics at the University of Ottawa?

The University of Ottawa ranks among the top research universities in Canada, offering a rich environment for scientific discovery. The Department of Mathematics and Statistics features internationally recognized professors and is a participating unit in the Ottawa-Carleton Institute of Mathematics and Statistics (OCIMS). This partnership with Carleton University pools extensive resources, providing students with a vast selection of graduate courses and diverse research opportunities. The Faculty of Science hosts world-class core facilities, including laboratories for genomics and molecular biology, and maintains strong links with the Fields Institute for Research in Mathematical Science.

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

The curriculum requires the completion of specialized bioinformatics coursework alongside graduate-level mathematics options and a research thesis. Modules may include:

• Bioinformatics
• MSc Seminar
• Discrete Applied Mathematics
• Combinatorial Optimization
• Real Analysis
• Probability Theory
• Mathematical Statistics
• Data Mining
• Stochastic Processes

Careers with Mathematics and Statistics - Bioinformatics

Graduates of this programme are equipped for high-level roles in an emerging scientific discipline that is vital to understanding human health and disease. The interdisciplinary nature of the training prepares students for careers in the biotechnology industry, pharmaceutical companies, and government research agencies. Bioinformaticians are increasingly sought after for their ability to design and apply computational approaches to complex biological data, driving innovation in clinical research and evolutionary biology.