MSc in Mathematical Finance (MFIN)
A taught master's aimed at working professionals and career changers moving into mathematical finance. It builds foundations in quantitative methods, markets, investments, risk and programming, with a late-stage block on stochastic processes, computational finance and time series.
What you’ll study
Core
- MATH7680 Quantitative Methods for Finance
- MATH7690 Financial Markets and Instruments
- MATH7720 Investments Management
- MATH7760 Programming for Finance and Trading
- MATH7700 Risk Management
- MATH7620 Topics in Probability Theory & Stochastic Processes
- MATH7640 Computational Finance
- MATH7650 Time Series Analysis
- MATH7660 Mathematical Finance
- MATH7670 Derivatives II
Electives
- MATH7630 Derivatives
- MATH7710 Financial Econometrics
- MATH7730 Investment Analysis
- MATH7740 Credit Risk
- MATH7750 Corporate Governance and Ethics
- MATH7770 Algorithmic Trading
- MATH7780 Financial Technology
Source: handbook.ar.hkbu.edu.hk ↗
Before you apply
- Background
- Bachelor's degree (full requirement text truncated on the page)
- Other
- Interview for shortlisted applicants if the Programme Board considers it necessary
Source: ar.hkbu.edu.hk ↗
After graduation
The programme doesn’t publish an employment report.
Want to see what employers ask for? Browse open quant roles.
Admissions page: 30 units (15 required, 15 elective), applications for Sept 2027 open 1 Sept 2026, deadline 7 June 2027 (non-local) / 30 July 2027 (local). The 2025-26 handbook describes a version run with the University of Kent leading to two MSc degrees (HKBU MSc Mathematical Finance and Kent MSc Finance, Investment and Risk) over four semesters and 39 units; the two official pages do not fully agree on structure, so check with the programme office.
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.