Financial Mathematics University of Prince Edward Island

Overview

The Financial Mathematics programme at the University of Prince Edward Island offers an interdisciplinary approach to modern finance. Students engage with complex mathematical models to analyse market trends, asset pricing, and risk management strategies.

This degree is designed to bridge the gap between theoretical mathematics and practical financial application. By combining rigorous quantitative training with insights from economics and business, the curriculum ensures graduates are prepared for high-level roles in the financial industry or further academic research.

The School of Mathematical and Computational Sciences provides a collaborative environment where students develop technical proficiency.

Why Financial Mathematics at the University of Prince Edward Island?

The university is recognised as a leading institution for sponsored research funding in Canada, providing a high-quality academic setting. Students benefit from state-of-the-art facilities and a supportive faculty dedicated to undergraduate success and professional development.

A distinctive feature of this programme is the Co-operative Education option, which allows students to integrate academic terms with paid work placements. This integrated approach enables learners to apply classroom theory to real-world scenarios while gaining professional experience before graduation.

The curriculum is built upon a common core that fosters strong foundations in computational sciences. This structure allows for interdisciplinary breadth, encouraging students to take courses outside the Faculty of Science to broaden their perspective on global economic systems.

Tuition Fee Breakdown

• International fee: CAD 16670 per year
• National fee: CAD 7630 per year

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

Syllabus

Modules may include:

• Computer Science II
• Multivariable and Vector Calculus
• Linear Algebra II
• Mathematical Reasoning
• Probability and Mathematical Statistics I
• Probability and Mathematical Statistics II
• Applied Regression Analysis
• R Technology Lab
• Visual Basic in Excel Technology Lab
• Financial Mathematics I
• Statistics for Risk Modelling
• Generalized Linear Models
• Financial Derivatives
• Financial Mathematics II
• Financial Mathematics III
• Mathematical Modelling
• Corporate Finance
• Money and Financial Institutions
• Integrated Cases in Corporate Finance
• Entrepreneurial Finance
• Personal Finance
• Tutoring in Mathematical and Computational Sciences
• Professional Communication and Practice

Careers with Financial Mathematics

Graduates are highly sought after for roles that require sophisticated quantitative analysis and problem-solving skills. The programme prepares students for diverse career paths within the financial sector, including investment banking, risk assessment, and actuarial services.

The inclusion of co-op work opportunities provides a significant advantage in the job market, often leading to direct employment offers. Alumni are well-equipped to work in insurance, government agencies, and private consultancy firms specialising in financial modelling and economic forecasting.