Master of Financial Mathematics (MFinMath)
A mathematics-centred programme in stochastic analysis, discrete and continuous-time financial modelling and computational methods, ending in a research project. Suits graduates with a strong maths or stats major aiming at pricing, risk and portfolio roles.
What you’ll study
Core
- Advanced Stochastic Processes
- Introduction to Stochastic Analysis
- Discrete Time Financial Modelling
- Computational Mathematics for Finance
- Continuous Time Financial Modelling
Electives
- Five elective courses (30 units); up to three may come from outside the School of Mathematics and Statistics
- Research project: MATH5925 (12 units) or MATH5005 + MATH5006 (6 units each)
Source: unsw.edu.au ↗
Before you apply
- Background
- Recognised bachelor degree with a major in a cognate discipline (mathematics, statistics or actuarial studies); average of 65+ overall or in at least four second-year-or-above maths/stats courses
- Maths
- multivariable calculus; linear algebra; probability; theory of statistics
- Other
- Recommended: real analysis or measure theory, PDEs, linear regression
Source: unsw.edu.au ↗
After graduation
- Typical first roles
- Portfolio management, Financial product pricing, Business risk analysis, Research careers
- Employers
- APRA, banks, insurers, investment firms
Source: unsw.edu.au ↗
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What students and graduates say
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Programme introduced in 2007. Page shows inconsistent full-fee figures. No employment statistics published on the page.
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.