ABOUT MMF

The Master of Mathematical Finance (MMF) program is a one-year, fast-track professional program. We admit candidates from diverse backgrounds, such as computer science, physics, engineering and (of course) applied mathematics. 

Established in 1998, MMF has a long history of training students for careers in quantitative finance. Of the five finance master’s degree programs at the University of Toronto, MMF is the most quantitative in nature. Over that time, the program has helped launch the careers of nearly 800 professionals who specialize in quantitative research and analysis, data science, risk management, portfolio construction, financial engineering, machine learning and agentic AI. 

Much of MMF’s success is rooted in the boutique nature of the program, with class sizes of around 30 to 40 students per year. This allows us to build a meaningful relationship with every student, supporting their academic development and career goals, while helping them build lasting bonds with classmates and alumni. 

Those alumni now work across the financial industry in Canada and around the world. Students get direct access to professionals working across the industry. Our alumni regularly come back to speak with students, help with professional development, conduct mock interviews, provide career advice, and share their experience. 

The internship is also a central part of the MMF experience. Every student completes an internship, giving them the opportunity to apply their training, build professional relationships, and prepare for the full-time job market. 

Our courses are taught by a mix of scholars in mathematics, engineering, computer science and practitioners in industry, giving our graduates valuable insights into the real-world application of academic principles.