Program information
The Master of Financial Data Analytics (MFDA) program aims to train highly qualified finance professionals with computational skills essential for success in today’s ever-changing financial markets. MFDA is the first program in Canada to combine finance, information technology and data analytics, especially AI programming and applications. Students are expected to gain sufficient knowledge and experience in the field of financial data analytics required to be hired in the finance industry upon graduation. Applicants can come from a variety of educational backgrounds, from business, economics and finance, to mathematics, computer science, information technology and other quantitative areas. The MFDA is a Global Association of Risk Professionals (GARP) Academic Partner; the program curriculum equips students with the required knowledge to approach Part I Exam of the Financial Risk Manager (FRM) professional certification.
Admission requirements
In addition to the general admission requirements for graduate studies, MFDA applicants must meet the following program‐specific requirements.
Hold a bachelor’s degree in one of the two streams. Stream A applicants’ background includes information technology, computer science, modelling and computer science, engineering, mathematics, statistics, physics, actuarial science, or other quantitative fields. Stream B applicants’ background includes business, economics, and finance.
All applicants—except those with a graduate or undergraduate degree from Canadian or American Universities—must complete the GMAT or GRE.
A statistics course is required. Linear algebra and calculus are highly recommended.
If applicable, a minimum score of 7 on the IELTS or 100 on the TOEFL. (Note that these English language proficiency scores are slightly higher than those required for some other graduate programs.) Visit the English language proficiency section of this calendar for additional details. There may be an interview for applicants prior to admission.
Degree requirements
Students are required to complete eight courses and either an Applied Financial Data Analytics Project or a Financial Data Analytics Internship, for a total of 30 credits. Approximate time for program completion, based on full‐time status, is 12 to 24 months.
