Universities / University of Technology Sydney
Master of Quantitative Finance (MQF)
A practice-oriented quant finance masters covering derivative pricing, interest-rate and credit models, risk, Python programming and AI-driven investment, finishing with a research capstone. Part-time option suits working professionals.
What you’ll study
Core
- Optimisation and Financial Applications
- Python Programming for Data Processing
- Time Series and Stochastic Calculus
- Understanding Data and Statistical Design
- Financial Market Instruments
- Interest Rates and Credit Risk Models
- Quantitative Methods for Risk Analysis
- Fundamentals of Derivative Security Pricing
- AI-powered Investment and Risk Management
- Advanced Communication Skills in Science
- Master Research Capstone (Quantitative Finance)
Source: uts.edu.au ↗
Before you apply
- Background
- Relevant undergraduate degree (maths, mathematical finance, actuarial studies, or quantitative-heavy physics, engineering, CS, finance, economics) or equivalent workplace experience
- English
- IELTS Academic overall 6.5, writing 6.0 minimum
Source: uts.edu.au ↗
After graduation
- Typical first roles
- Quantitative Analyst and Researcher, Investment Analyst, Financial Data Scientist/Analyst, Trader, Financial Engineer, Financial Risk Analyst, Portfolio Manager, Consultant
Source: uts.edu.au ↗
Want to see what employers ask for? Browse open quant roles.
What students and graduates say
Threads from QuantNet and other forums where applicants, students and graduates discuss this programme. They’re personal views and may be out of date.
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.
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