GraduateBusiness
Master of Quantitative Finance
University of Technology Sydney, Sydney, NSW, Australia
About this program
The Master of Quantitative Finance at the University of Technology Sydney (UTS) is a nine-subject technical degree covering probability and stochastic analysis, time series, optimisation and financial applications, Python programming for data processing, and AI-powered investment and risk management. It is taught in the UTS Faculty of Science alongside the mathematics and computing schools.
Entry requires a quantitative undergraduate degree or equivalent workplace experience. Study takes about 18 months full-time. Graduates work in quantitative analysis, risk modelling, algorithmic trading and financial data science roles in banks, funds and financial technology firms.
Cost & duration
English test scores
Verified uts.edu.au ↗
Course structure
1 term of coursework
Core subjects
- 68109 Advanced Communication Skills in Science
- 25882 AI-powered Investment and Risk Management
- 38004 Optimisation and Financial Applications
- 43031 Python Programming for Data Processing
- 38003 Time Series and Stochastic Calculus
- 60117 Understanding Data and Statistical Design
- 38007 Financial Market Instruments
Admissions
Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in mathematical sciences, mathematical finance, insurance and actuarial studies, or a related field of study with a substantial quantitative component for example, physics and astronomy, engineering and related technology, computer science, banking, finance, and economics and econometrics.
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