Applied Mathematics York University

Overview

The Applied Mathematics programme at York University prepares students to become interdisciplinary scientists capable of solving quantitative problems across various industries. Students learn to develop sophisticated mathematical models and use simulation techniques to address issues in science, engineering, and business.

Why Applied Mathematics at York University?

Choosing this programme means learning from world-class experts who apply mathematical simulations to global issues, such as public health crises and climate change. The Faculty of Science provides access to powerful computer clusters, allowing students to run complex algorithms and conduct cutting-edge research. Professors at the university are active in diverse fields, including disease modelling, mathematical finance, and atmospheric science.

The curriculum is highly adaptable, offering both Bachelor of Arts and Bachelor of Science pathways. BA students can explore electives in economics, business, or philosophy, while BSc students may focus on physics, astronomy, or biology. This flexibility ensures that graduates possess a versatile language of mathematics tailored to their specific career interests.

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:

• Differential and Integral Calculus
• Statistics
• Linear Algebra
• Computing for Math and Statistics
• Scientific Computing
• Disease Modelling
• Mathematical Finance
• Numerical Methods
• Differential Equations

Careers with Applied Mathematics

Graduates are equipped for high-demand roles in predicting numbers and quantitative analysis. Potential career paths include becoming an operations researcher, scientific computing specialist, or biostatistician. Many alumni find success as financial analysts, database developers, and research scientists within the industrial and technology sectors.

The skills gained in mathematical modelling and data visualization are applicable in diverse areas such as geolocation engineering, cryptography, and engineering consultancy. Graduates are prepared to make informed recommendations on real-world problems for both government and private organisations.