Quantitative Finance - Master of Quantitative Finance (MQF)

Today's financial industry is rapidly evolving and complex. The Master of Quantitative Finance (MQF) program focuses on the fundamental disciplines of mathematics, statistics, econometrics, machine learning, computer science and finance to provide the analytical tools to solve practical problems in the complex world of finance.

You’ll be equipped for positions with financial institutions, corporations and government regulatory organizations.

Based in the Department of Statistics and Actuarial Science, the program is offered with the option of a research paper or a thesis. The thesis option is best if you’re interested in pursuing research or a PhD, while the research paper option allows you to complete an internship where you’ll acquire practical experience in a real-world setting to graduate career ready.

Research fields for this program include artificial intelligence, business and industrial statistics, computational statistics, data science, machine learning, probability, statistical modelling and inference, and survey methods.

Graduates come away from the program equipped for a range of positions that require advanced skills in quantitative finance, such as financial engineers in model vetting and risk compliance, analysts in portfolio credit and market risk, asset managers and portfolio managers.