Meet Kevin Wang!
kevin wang

MFI student Kevin Wang talks about finding his dream career, the MFI program’s holistic teachings & his data science internship at a Toronto start-up.

Admissions Process
Admissions Process

Learn about the important details involved in the admissions process.

Prospective Students
Prospective Students

Find out more at our information sessions here!

Greetings from the Director

A number of exciting and important problems at the interface of data science, finance, and insurance require a new breed of professionals.

Applications for September 2023   are now closed. Applications for Fall 2024 will open in October.

The Department of Statistical Sciences is pleased to offer the Masters of Financial Insurance (MFI) program. The program received final approval from the Ministry of Training Colleges and Universities on Nov 24, 2015, and we were delighted to welcome our first cohort of bright, energetic, and motivated students in September, 2016.

Traditionally, the finance and insurance worlds are quite distinct, but this distinction is disappearing. Financial firms are taking exposure to insurance risks, insurance companies are providing guarantees to their clients that fundamentally intertwines them with the financial markets, and pension plans provide income guarantees which profoundly link their obligations to the these markets.

The MFI is a professional program that provides students with a sophisticated understanding of this complex interaction of the financial and insurance fields. The program contains a comprehensive set of offerings and students gain rigorous training in data science, actuarial science, finance, and fintech. Graduates from this program will be well armed to face the highly skilled work required of them in the banking, insurance, pension, fintech, and consulting industries.

The MFI program is a mathematically sophisticated program, and suitable candidates normally hold a Bachelors or Masters degree in a quantitative field such as: actuarial science, statistics, economics, mathematics or engineering. Students should have training in multivariable calculus, linear algebra, probability, statistics, and computation. Additional training in actuarial science, economics and finance will be an asset.

The MFI is a three semester program with the first and second semesters containing course work including substantial group projects. During the third semester, students take on an industrial internship. Courses are taught by University of Toronto faculty members as well as industry professionals to benefit from their real-world insights and know-how.

If you are top notch student with an interest in data science, actuarial science, and finance, we want to hear from you!