MMF Program

Minimum Admission Requirements

• Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the graduate unit's additional admission requirements stated below.

• Applicants must have an appropriate bachelor's degree in a quantitative, technical discipline with a minimum of a mid-B standing in the final two years.

• Applicants whose primary language is not English and who graduated from a university where the language of instruction was not English must demonstrate proficiency in the English language through the successful completion of the Test of English as a Foreign Language (TOEFL) with minimum scores as follows:

  • paper-based TOEFL exam: 580 and 5 on the Test of Written English (TWE)

  • Internet-based TOEFL exam: 93/120 and 22/30 on the writing and speaking sections

• Applicants must also show evidence of strong mathematical ability. Appropriate workplace experience will be considered in lieu of formal education.

• Admission to the program is competitive. Those accepted into the program will normally have achieved a standing considerably higher than the minimum mid-B standing or have demonstrated exceptional ability through appropriate workplace experience.

• Applicants must satisfy the Admissions Committee of their ability to do rigorous quantitative analysis at an advanced level. The broad background required for this program makes it likely that many strong applicants will not possess all the background requirements. It is expected that applicants will have extra depth in certain areas and need to do additional work in others. Admission may be conditional upon the applicant's satisfactory completion of the required background material.

• Applicants should submit a written statement of approximately 300 words outlining their objectives for entering the program. Applicants should also explain how their background is appropriate. An interview may be required.

• Inquiries about part-time options for the program should be addressed to the Program Director.

Completion Requirements

• The program of study begins in mid-August and includes a four-month internship during the second session. Students will be responsible for obtaining their own internship. In cases where the student is taking a leave of absence from an appropriate job, it is expected that the student will return to this job for the internship. In all cases, the Director must approve the placement.

• Students will proceed through the program as a group, following a common course of study. The course of study will be fully integrated and computer-laboratory intensive. Course projects and assignments will be designed to integrate the material learned from a variety of the courses and to utilize it in a practical context. Excellent communication and presentation skills will be emphasized in both the oral and written components of the projects.

• Students must complete all required courses listed below:

• MMF1900Y Internship

• MMF1910H Introduction to Financial Industry

• MMF1914H Information Technology

• MMF1920H Investment and Finance

• MMF1921H Operations Research

• MMF1922H Data Science Methods for Investment, Finance, and Risk Management

• MMF1923H Financial Markets and Corporate Policy

• MMF1927H Workshop in Mathematical Finance

• MMF1928H Pricing Theory 1

• MMF1929H Asset Management

• MMF1941H Dynamic Data Science in Finance

• MMF1943Y Communication

• MMF2000H Risk Management

• MMF2012H Financial Modelling

• MMF2021H Numerical Methods for Finance

• MMF2025H Risk Management Laboratory

• MMF2028H Blockchain Fundamentals for Finance

• MMF2030H Machine Learning for Finance

• MMF2032H Innovation and Entrepreneurship

• MMF2034H Climate Risk Management in Finance.

• Additional courses:

• MMF1915H Introduction to Financial Products

• MMF1926H Workshop in Mathematical Finance.

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