Applied Mathematics York University

Overview

The Applied Mathematics programme at York University provides students with the essential skills to predict numerical outcomes across science, engineering, and business. This interdisciplinary curriculum focuses on creating sophisticated mathematical models to address modern societal issues. Participants develop expertise in data science, simulation, and quantitative analysis.

Why Applied Mathematics at York University?

Choosing this programme means learning from world-class professors who are active interdisciplinary scientists. These experts apply mathematical simulations to critical global issues, including disease outbreak modelling, climate change, and mathematical finance. Students gain access to powerful computer clusters to run complex algorithms and invent new numerical methods.

The Faculty of Science provides a unique environment where research directly informs teaching. You will explore diverse fields such as public health, atmospheric science, and the behaviour of bacteria. This research-intensive atmosphere ensures that graduates are prepared to attack quantitative problems in almost any professional field.

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

The curriculum is designed to build a strong foundation in quantitative methods and computational techniques. 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 highly sought after for their ability to provide informed recommendations based on data analysis. The programme prepares students for diverse professional roles across multiple industries. Potential career paths include:

• Operations Researcher
• Scientific Computing Specialist
• Quantitative Analyst
• Biostatistician
• Cryptographer
• Financial Analyst
• Database Developer
• Research Scientist
• Engineering Consultant

The versatility of the degree allows graduates to find employment in sectors ranging from public health and government agencies to financial institutions and technology firms. The analytical rigour of the programme ensures that alumni are capable of translating complex data into actionable insights for their employers.