Applied and Computational Mathematics Simon Fraser University

Overview

The Applied and Computational Mathematics M.Sc. at Simon Fraser University offers students a rigorous foundation in the application of mathematical theory to complex real-world problems. This programme is designed to equip graduates with the sophisticated analytical and numerical tools required for high-level research and professional practice in the mathematical sciences. Students benefit from a flexible curriculum that allows for specialisation in areas such as fluid dynamics, data science, or discrete mathematics.

Candidates can choose between a thesis-based option, which emphasises original research and requires a minimum of 40 units, or a course-based option consisting of at least 32 units. The thesis stream is ideal for those intending to pursue doctoral studies, while the course option provides broad professional expertise.

Why Applied and Computational Mathematics at Simon Fraser University?

The programme is delivered by the Department of Mathematics within the Faculty of Science, known for its strong research output and interdisciplinary approach. Students have access to expert faculty members specialising in diverse fields from bioinformatics to geophysical fluid dynamics. The university provides a collaborative environment where mathematical theory is directly applied to challenges in the natural and applied sciences, supported by modern computational facilities at the Burnaby campus.

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 requires a breadth of knowledge across multiple mathematical groups. Students must select courses from at least three distinct areas to ensure a comprehensive understanding of the field. Modules may include:

• Asymptotic Analysis of Differential Equations
• Partial Differential Equations
• Applied Functional Analysis
• Numerical Linear Algebra
• Numerical Solution of Partial Differential Equations
• Numerical Methods in Continuous Optimization
• Computational Fluid Dynamics
• Analysis and Computation of Models
• Mathematics of Data Science

Careers with Applied and Computational Mathematics

Graduates of this programme are well-prepared for diverse technical roles in both the public and private sectors. The focus on computational methods and data analysis opens opportunities in industries such as aerospace, finance, telecommunications, and biotechnology. Many students progress to senior analyst positions, research and development roles, or continue their academic careers through Ph.D. research. The skills gained in mathematical modelling and algorithmic problem-solving are highly sought after by organisations involved in complex systems and data-driven decision-making.