The Quantitative Finance Focus combines the rigor of theoretical and methodological statistics with an in-depth exploration of the tools and techniques used in modern quantitative finance. Students in this focus will develop a deeper understanding of financial markets, derivative pricing, risk management, and the quantitative methods essential for addressing complex financial challenges.

The focus emphasizes the application of statistical models and methods to real-world financial data, equipping students with the skills needed to succeed in the growing field of finance. Topics include stochastic processes, time series analysis, portfolio optimization, and mathematical finance, among others.

Graduates of the Quantitative Finance Focus will be well-prepared for careers in fintech, investment banking, hedge funds, and risk management, as well as for graduate study in quantitative finance or related fields. The curriculum is designed to provide both a solid theoretical foundation and practical expertise, ensuring students are ready to tackle challenges using advanced quantitative methods.

To enrol in the Quantitative Finance Focus, students must be admitted to the Data Science Specialist program (ASSPE1687) as detailed in the Enrolment Requirements.