The Master of Quantitative Finance (MQF) develops advanced skills in mathematics, statistics, econometrics, computer science, and finance to solve real-world problems in financial markets and risk management. Graduates are prepared for roles in quantitative analysis, model development, and risk-focused positions across banks, asset managers, and regulatory environments.
The Master of Quantitative Finance (MQF) at the University of Waterloo equips students with essential skills in mathematics, statistics, econometrics, computer science, and finance. This comprehensive program is designed to address real-world challenges in financial markets and risk management, preparing graduates for various roles in quantitative analysis, model development, and risk management across banks, asset management firms, and regulatory bodies.
The MQF program is structured to provide both depth and breadth in quantitative finance. Students can choose between a course-based or thesis-based pathway, involving a combination of core and elective courses.
Course optionsWhile there are no specific GRE or GMAT score requirements for this program, applicants should be prepared to demonstrate their academic capabilities through their prior coursework. There is no formal minimum GPA cutoff specified for admission.
Graduates of the MQF program are well-equipped to pursue careers in various sectors, including banks, asset management firms, and regulatory agencies. The skills acquired through the program prepare them for positions focused on quantitative analysis, risk management, and model development, making them valuable assets in today’s data-driven financial landscape.
Shortlist scholarships and plan your application — free guidance from our advisors.