Statistical Sciences: Financial Insurance MFI

The Master of Financial Insurance (MFI) is a full-time professional program based on three pillars: data science, financial mathematics, and insurance modelling. This program is appropriate for students with backgrounds in statistics, actuarial science, economics, and mathematics. Students with a quantitative background (such as physics and engineering) and sufficient statistical training are also encouraged to apply.

Master of Financial Insurance

Minimum Admission Requirements

  • Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Department of Statistical Sciences' additional admission requirements stated below.

  • An appropriate bachelor’s degree from a recognized university in a related field such as statistics, mathematics, finance, and actuarial science, or any discipline where there is a significant quantitative component. Studies must include significant exposure to statistics, mathematics, finance, and actuarial science, including coursework in advanced calculus, computational methods, linear algebra, probability, and statistics.

  • An average grade equivalent to at least a University of Toronto B+ in the final year or over senior courses; applicants who meet the SGS grade minimum of mid-B and demonstrate exceptional ability through appropriate workplace experience will be considered.

  • Three letters of reference including two academic references, one of which should be in a quantitative discipline.

  • A curriculum vitae detailing the student's educational background, professional experience, and skills.

  • Applicants whose primary language is not English and who graduated from a university where the language of instruction and examination was not English must demonstrate proficiency in English using one of the official methods outlined in the SGS Calendar.

  • Selected applicants may be required to attend an interview.

Admission to the program is competitive, and achievement of the minimum admission standards does not guarantee admission into the program.

Completion Requirements

  • Students must successfully complete 5.5 full-course equivalents (FCEs) as follows:

    • Eight required half courses (4.0 FCEs).

    • STA2546H Data Analytics in Practice.

    • Any one of Statistical Sciences' 0.25 FCE 4000-level graduate course offerings with significant financial, insurance, or data science components, with approval of the MFI program director.

    • STA2560Y Industrial Internship, a four-month summer internship. Students must submit a project proposal to the program director and select an advisor by May 15. An interim report is required by July 7. Students must prepare a final written report and deliver an oral presentation on the internship project at the conclusion of the internship.

Required Courses

  • Fall Session

    • STA2503H Applied Probability for Mathematical Finance

    • STA2530H Applied Time-Series Analysis

    • STA2535H Life Insurance Mathematics

    • STA2536H Data Science for Risk Modelling

    • STA2550H Industrial Seminar Series

  • Winter Session

    • STA2540H Insurance Risk Management

    • STA2546H Data Analytics in Practice

    • STA2550H Industrial Seminar Series

    • STA2551H Finance and Insurance Case Studies

    • STA2570H Numerical Methods for Finance and Insurance

    • STA45## [To be selected by the student with approval of the Director.]

  • Summer Session

Mode of Delivery: In person
Program Length: 3 sessions full-time (typical registration sequence: FWS)
Time Limit: 3 years full-time

 

Statistical Sciences