Note
Commonwealth Supported Places
There are a limited number of Commonwealth Supported Places (CSPs) available in this course, which are competitive and awarded based on merit. To be considered for a CSP, applicants must:
- Indicate their interest in a CSP on their application.
- Apply on time in line with CSP deadlines (it is recommended applicants apply early as applications are assessed progressively).
Eligible applicants must accept their offer by the lapse date to retain their place. For application deadlines and information, please refer to Postgraduate courses with Commonwealth Supported Places.
30% Postgraduate Scholarship
There is a 30% Postgraduate Scholarship available in 2025. Eligible students must commence one of the Master's quantitative finance courses in the Faculty of Science:
- C04373 - Master of Quantitative Finance; or
- C04418 - Master of Data Science in Quantitative Finance; or
- C04419 - Master of Mathematics and Quantitative Finance.
For more details, refer to the UTS Quantitative Finance Postgraduate Scholarship.
This course is tailored for both aspiring and established quantitative finance professionals seeking to navigate the evolving financial landscape marked by accelerated financial innovation, the emergence of new risks, and major regulatory changes.
You will undertake subjects on financial market instruments, derivative security pricing, risk management, and interest rate modelling, underpinned by core competencies in probability theory, stochastic analysis, optimisation, and financial econometrics. This is further supplemented by specialist studies in machine learning and Bayesian analysis.
Through a year-long research project, you will study and apply advanced computational, numerical and statistical methods to solve industry-relevant financial problems and learn to report and communicate insights to various audiences. Learning occurs through a combination of current, industry-relevant subjects and hands-on experience, ensuring you stay abreast of market demands and gain the competencies needed for a cutting-edge career in quantitative finance.
Upon completion, you will be well-equipped for a successful career in financial institutions, consulting, or government in roles such as quantitative analyst, data scientist, risk analyst, or investment analyst.
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.