Master of Mathematics and Quantitative Finance

Course content is comprised of 14 subjects, including six from the internationally recognised UTS Master of Quantitative Finance. Students start by building core competencies in mathematics, statistics and computer programming before progressing to advanced concepts in financial market instruments, probability theory and risk management – crucial components of any quantitative finance career. They also learn to apply their theoretical learning to industry-relevant assignments in areas such as derivative security pricing, valuation of financial instruments, and market and credit risk measurement and management.

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 quantitative expertise. They can work as quantitative analysts, risk management analysts, quantitative structurers, quantitative developers, forecasters, traders, investment analysts and financial engineers in organisations of all sizes, from multinationals to boutique firms.