Mathematics York University

Overview

The Mathematics programme at York University invites students to explore the intellectual beauty and logical rigour of pure mathematical theory. This comprehensive curriculum focuses on the essential concepts that underpin modern scientific and financial advancements. Students gain a deep understanding of abstract structures while developing the reasoning skills required for complex problem-solving.

Why Mathematics at York University?

York University provides a unique environment for mathematical study, offering students the chance to participate in one-on-one research projects alongside expert professors. The Faculty of Science features strengths in diverse areas such as algebraic combinatorics and number theory. Students benefit from a supportive academic community and facilities designed to foster high-level analytical thinking.

The programme is highly versatile, allowing for customisation through various degree pathways, including Honours and Specialized Honours options. Depending on their interests, students can integrate electives from fields such as business, philosophy, or the natural sciences. This interdisciplinary approach ensures that graduates are well-rounded and capable of applying logic across different sectors.

Tuition Fee Breakdown

• International fee: CAD 41526 per year
• National fee: CAD 8536 per year

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

Syllabus

Modules may include:

• Calculus
• Statistics
• Problems, Conjectures and Proofs
• Computing for Math and Statistics
• Biology
• Chemistry
• Physics
• Probability Theory
• Set Theory

Careers with Mathematics

Graduates of this programme are equipped with the technical expertise and logical framework sought after by top-tier employers in data-driven industries. The ability to interpret complex patterns and model real-world changes opens doors to various specialised professional paths.

Furthermore, the programme serves as an ideal stepping stone for those wishing to pursue graduate studies or academic research. The rigorous training in mathematical physics, machine learning, and financial engineering prepares students for the demands of advanced postgraduate degrees and competitive global markets.