Mathematics and Statistics York University

Overview

The Mathematics and Statistics programme at York University provides a rigorous academic environment dedicated to the exploration and development of innovative mathematical ideas. Students can pursue specialised pathways in pure mathematics, applied mathematics, or statistics to suit their professional goals. This postgraduate offering ensures that graduates are equipped with the analytical tools necessary for high-level research and industry roles.

Why Mathematics and Statistics at York University?

York University offers a dynamic environment where researchers provide a tailored experience for postgraduate students. The institution is known for its diverse specialisations, allowing learners to focus on niche areas such as disease modelling, financial engineering, or data science. The department fosters an appreciation for the utility of mathematical concepts in solving complex, real-world problems.

For those pursuing the MSc in Applied and Industrial Mathematics, the university provides a unique practicum component. This allows students to model physical problems using experimental data and mathematical formulations. Such practical exposure ensures that the theoretical knowledge gained in the classroom is directly applicable to professional environments in research laboratories and finance.

Tuition Fee Breakdown

• International fee: CAD 6275 per semester
• National fee: CAD 1436 per semester

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

Syllabus

The curriculum is designed around core specialisations and research components. Depending on the chosen pathway, modules and focus areas may include:

• Pure Mathematics
• Applied Mathematics
• Probability
• Statistics
• Applied Statistics
• Data Science
• Industrial Mathematics
• Disease Modelling

Careers with Mathematics and Statistics

Graduates from this programme are well-prepared for diverse professional landscapes across various sectors. The skills acquired during the course are essential for the development of new and innovative technologies in modern industry. Many alumni find successful careers in the financial sector, particularly in roles involving risk analysis and financial modelling.

The programme also serves as a strong foundation for those looking to enter research laboratories or continue their academic journey in a university setting. Common career paths include roles in data science, industrial mathematics, and disease modelling. The analytical expertise gained at the university is highly valued by employers looking for specialists capable of interpreting complex data and providing mathematical solutions to industrial challenges.