Universities / University of Calgary
MSc in Mathematics and Statistics, Mathematical Finance specialization (MSc MF)
A mathematical finance specialization within the Calgary maths and statistics MSc, built on stochastic calculus and computational finance with advanced topics such as credit risk and Monte Carlo methods. Haskayne finance courses can count.
What you’ll study
Core
- MATH 681 Stochastic Calculus for Finance
- MATH 683 Computational Finance
Electives
- MATH 601 Measure and Integration
- MATH 685 Stochastic Processes
- STAT 701 Theory of Probability I
- MATH 691.01 Lévy Processes in Finance
- MATH 691.03 Credit Risk
- MATH 691.05 Stochastic Optimal Control & Applications in Finance
- MATH 693.01 Monte Carlo Methods for Quantitative Finance
- MATH 693.03 Energy, Commodity and Environmental Finance
- FNCE 613
- FNCE 631
- FNCE 667
- FNCE 668
Source: science.ucalgary.ca ↗
Before you apply
- Background
- Bachelor's in mathematical finance or related field (probability, statistics, mathematics, economics, finance); maintain GPA 3.00
Source: science.ucalgary.ca ↗
After graduation
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Checked 6 November 2026 against the sources linked on this page. Fees, units and requirements change each year, so confirm them on the programme’s website before applying.