Mathematics Simon Fraser University

Overview

The Mathematics programme at Simon Fraser University offers a comprehensive graduate experience designed for students aiming to master advanced mathematical theories and applications. As one of the most dynamic departments in Canada, it provides a rigorous academic environment where students engage in significant research across diverse mathematical disciplines. Participants are encouraged to develop new mathematical insights while benefiting from the expertise of internationally recognised faculty members.

Why Mathematics at Simon Fraser University?

Simon Fraser University hosts a distinguished department featuring several Canada Research Chairs and Sloan Research Fellows. The institution is known for its collaborative atmosphere, where graduate students work closely with faculty on pioneering projects in both pure and applied mathematics.

Students benefit from strong links to research centres such as the Centre for Operations Research and Decision Sciences and the Pacific Institute for the Mathematical Sciences (PIMS). The department's focus on world-class research ensures that graduates are at the forefront of mathematical innovation, supported by state-of-the-art computational resources and a diverse, inclusive academic community.

Tuition Fee Breakdown

• International fee: CAD 2150 per semester
• National fee: CAD 2150 per semester

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

Syllabus

The curriculum is designed to provide deep expertise in specialised areas of mathematics. Modules may include:

• Algebraic and Arithmetic Geometry
• Applied Mathematics
• Computer Algebra
• Discrete Mathematics
• History of Mathematics
• Industrial Mathematics
• Mathematics and Data
• Number Theory
• Operations Research

Careers with Mathematics

Graduates of the Mathematics programme are prepared for diverse professional paths in both academia and industry. The analytical and problem-solving skills developed during the course are highly valued in sectors such as data science, public health modelling, and computational research. Alumni have successfully moved into roles involving predictive modelling, infectious disease epidemiology, and operational dynamics for healthcare networks. The programme also provides a strong foundation for those wishing to pursue further doctoral studies or research positions in theoretical computing, graph theory, and mathematical physics. Graduates often find opportunities in government agencies, technology firms, and financial institutions where advanced quantitative expertise is essential.