Mathematics Kwantlen Polytechnic University

Overview

The Mathematics programme at Kwantlen Polytechnic University provides a robust foundation in numerical reasoning and abstract problem-solving. Students engage with a curriculum designed to bridge the gap between theoretical mathematical structures and practical applications in modern industry and scientific research.

This degree emphasises the development of foundational and applied quantitative skills. Learners build a strong core in mathematical reasoning while gaining hands-on experience in computation, biology, and data science. The curriculum integrates technology-focused modelling to address complex real-world challenges effectively.

Interdisciplinary collaboration is a central pillar of the academic experience. Students are encouraged to participate in research projects that span across science, education, and industrial sectors.

Why Mathematics at Kwantlen Polytechnic University?

The institution offers specialised concentrations that are rarely available at the undergraduate level elsewhere in Canada. Students benefit from modern facilities at the Surrey campus and have access to dedicated research centres, including the Applied Genomics Centre and the Institute for Sustainable Horticulture.

Teaching features include technology-integrated problem solving using advanced mathematical software and programming platforms. The university also supports experiential learning through senior capstone projects, allowing students to conduct independent research and present findings at national conferences and competitions.

Tuition Fee Breakdown

• International fee: CAD 11114 per semester
• National fee: CAD 2443 per semester

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

Syllabus

The curriculum combines traditional theory with specialised applied coursework. Students can choose to focus their studies through concentrations in Biomathematics, Computational Mathematics, or Mathematics Education. Modules may include:

• Applications of Mathematics
• Computational Mathematics
• Biomathematics
• Mathematics Education
• Graph Theory and Applications
• Linear Algebra
• Probability
• Statistics
• Data Analysis
• Programming
• Physics
• Biology

Careers with Mathematics

Graduates are well-positioned for roles in sectors where analytical and quantitative skills are highly valued. The programme provides a strong foundation for careers involving artificial intelligence, machine learning, and data-driven decision-making. Potential career paths include:

• Software Developer
• Machine Learning Technician
• Data Scientist
• AI Ethics Analyst
• Cryptographer
• Actuary
• Quantitative Analyst
• Financial Analyst
• Business Intelligence Analyst
• Risk Analyst
• Statistician
• Biostatistics Technician
• Climate Data Analyst
• Operations Research Analyst
• Mathematics Educator
• Technical Writer
• Market Research Analyst
• Logistics Analyst
• Policy Analyst