MSc in Quantitative Finance (NUS-SJTU joint) (NUS-SJTU MQF)
A joint NUS and SJTU version of the MQF. Students take the first semester at NUS, then complete core QF courses and Fintech and machine learning courses at SJTU.
What you’ll study
Core
- QF5209 Financial Derivatives: Modelling and Computation
- QF5210 Financial Time Series: Theory and Computation
- QF5212 Introduction to Quantitative Finance
- QF5205 Topics in Quantitative Finance I
- QF5206 Topics in Quantitative Finance II
- QF5213 Financial Management
- QF5203A Risk Management
- QF5202A Structured Products
- QF5201A Interest Rate Theory and Credit Risk
- QF5207A Investment and Portfolio Selection
- QF5312 Statistical Models and Methods in Finance
- QF5310 Data Analysis and Machine Learning in Finance
- QF5313 Advanced Computational and Programming Methods in Finance
- QF5315 Selected Topics in Fintech
Source: math.nus.edu.sg ↗
Before you apply
The programme doesn’t publish detailed entry requirements beyond a general admissions page.
After graduation
The programme doesn’t publish an employment report.
Want to see what employers ask for? Browse open quant roles.
NUS pages blocked automated fetching; details come from the AY2026 study plan PDF and search-result snippets of the official pages. Course list is the study plan as published, split between NUS and SJTU without per-course core/elective labels.
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.