Masters (Coursework)
Major regulatory changes and the emergence of new types of financial risks mean that skilled quantitative finance professionals are more in demand than ever. The UTS postgraduate Quantitative Finance program is recognised in Australia and overseas as a leading qualification for aspiring and established quantitative finance professionals.
Designed by industry experts and leading UTS academics, the Master of Data Science in Quantitative Finance combines subjects from the internationally acclaimed UTS Master of Quantitative Finance with specialist study in data science and statistical modelling. Students learn to tackle data problems on new scales and at increasing levels of complexity and emerge ready to deliver advanced analysis and modelling in portfolio optimisation, market and credit risk modelling.
Explore our quantitative finance degrees
UTS offers a suite of postgraduate quantitative finance degrees, each with a different area of focus. Students considering the Master of Mathematics and Quantitative Finance may also be interested in the following courses:
Course content is comprised of 11 subjects, including six subjects from the Master of Quantitative Finance. Students engage with the in-depth study of financial market instruments, probability theory, and credit and market risk, among others, and diversify their skill sets with specialist study in machine learning, Bayesian methods and mathematical research.
They also learn to apply their theoretical learning to industry-relevant assignments in areas such as derivative security pricing and hedging, valuation of financial instruments, market and credit risk measurement and management, and machine learning.
Graduates are highly sought after by leading financial institutions, management consulting companies, energy and mining companies, regulatory bodies, government organisations and other organisations seeking advanced data science and quantitative finance expertise.
They can work as quantitative analysts, data scientists, data analysts, quantitative structurers, quantitative developers, forecasters, traders, financial engineers, market risk analysts, credit risk analysts, data engineers, data modellers and investment analysts.
The course comprises 96 credit points of core subjects.