Applied Mathematics Simon Fraser University

Overview

The Applied Mathematics programme at Simon Fraser University provides students with a rigorous foundation in quantitative and computational methods. This degree is designed to bridge the gap between theoretical mathematics and practical applications in the physical, life, and social sciences. Students learn to translate complex real-world problems into mathematical frameworks.

Based within the Faculty of Science, the curriculum emphasises the development of high-level programming and computing skills. These technical competencies allow students to build sophisticated models used across various sectors of science and technology. The programme encourages a multidisciplinary approach to problem-solving and analytical thinking.

Why Applied Mathematics at Simon Fraser University?

Simon Fraser University offers a unique learning environment where students can begin their studies at the Surrey campus. The programme is distinguished by its collaborative nature, drawing expertise from the Department of Mathematics and the wider Faculty of Science. This ensures a comprehensive education that remains relevant to modern industry needs.

The institution provides access to modern facilities and a curriculum that integrates mathematics with statistics, computing, and physics. This diverse academic exposure prepares students for the complexities of the global workforce. The university is well-regarded for its commitment to research and practical innovation in the mathematical sciences.

Tuition Fee Breakdown

• International fee: CAD 37442 per year
• National fee: CAD 7502 per year

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

Syllabus

The curriculum integrates several scientific disciplines to provide a well-rounded technical education. Modules may include:

• Mathematics
• Statistics
• Computing
• Physics
• Mathematical Theory
• Programming
• Scientific Modelling
• Computational Methods

Careers with Applied Mathematics

Graduates of this programme are equipped for diverse professional paths that require strong analytical and numerical skills. The ability to create and interpret mathematical models is highly valued in sectors such as data science, financial analysis, and engineering. Many alumni pursue roles that involve complex data processing and technical research.

Career opportunities typically span across the physical, life, and social sciences. Graduates may find employment in government agencies, technology firms, or research institutions. The degree also serves as a robust foundation for those wishing to pursue further academic study or specialised professional certifications in quantitative fields.