Program Overview

Quantitative Finance - Master of Quantitative Finance (MQF)

The Master of Quantitative Finance (MQF) program is designed to provide students with the fundamental disciplines of mathematics, statistics, econometrics, machine learning, computer science, and finance to solve practical problems in the complex world of finance. This program is based in the Department of Statistics and Actuarial Science and is offered with the option of a research paper or a thesis.

Program Overview

• Department/School: Statistics and Actuarial Science
• Faculty: Faculty of Mathematics
• Admit term(s): Fall (September - December)
• Delivery mode: On-campus
• Program type: Master's, Professional
• Length of program: 16 months (full-time)
• Registration option(s): Full-time
• Study option(s): Thesis, Master's Research Paper

Program Highlights

• Real-world, hands-on experience with the internship option
• Well respected by top firms in the financial industry
• Track record for developing internship placements and career opportunities

Research Fields

The research fields for this program include:

• Artificial intelligence
• Business and industrial statistics
• Computational statistics
• Data science
• Machine learning
• Probability
• Statistical modelling and inference
• Survey methods

Admission Requirements

• An overall 80% average from a Canadian university (or its equivalent)
• A four-year honour's bachelor's degree (or equivalent) with a strong background in quantitative methods
• Strong communication skills are also highly desirable
• An interview and diagnostic test may be required

Degree Requirements

Students should review the degree requirements on the Graduate Studies Academic Calendar, including the courses that can be anticipated as part of completing the degree.

Application Materials

• Resume
• Program-specific questions (PSQ)
• Transcript(s)
• References: Three references are required, at least two academic
• Proof of English language proficiency, if applicable: TOEFL 90 (writing 25, speaking 25), IELTS 7.0 (writing 6.5, speaking 6.5)

Tuition and Fees

Students should visit the graduate program tuition page to determine the tuition and incidental fees per term for their program. They should also review living costs and housing, as well as funding graduate school resources for graduate students.

Career Opportunities

Graduates of the program are equipped for a range of positions that require advanced skills in quantitative finance, such as financial engineers in model vetting and risk compliance, analysts in portfolio credit and market risk, asset managers, and portfolio managers. The program prepares students for positions with financial institutions, corporations, and government regulatory organizations.