The Master of Financial Data Analytics (MFDA) is designed to prepare finance professionals with critical computational skills for today’s financial markets. This program combines finance knowledge with data analytic skills, including AI programming and applications, tailored for those interested in the finance industry’s data-driven landscape. The program includes eight courses plus a choice of internship or a comprehensive project, all delivered full-time in-person over two years at Ontario Tech University in North Oshawa, with an option to accelerate to one year. Recognized as a STEM program, it equips students to analyze financial data with modern analytics tools and prepares them for global financial markets. The program also aligns with the Part I Exam of the Financial Risk Manager (FRM), a leading professional certification.
Why this course is highly recommended
This program is ideal for those seeking to bridge finance with cutting-edge data analytics, including AI programming. It caters to professionals from diverse educational backgrounds—such as business, economics, computer science, or engineering—and prepares them to work in the rapidly evolving financial industry. The coursework and internship or project opportunities ensure practical, real-world skills, making graduates highly competitive in global markets. Its recognition as a STEM-certified program and alignment with professional certification exams add further appeal.
The program specifically focuses on financial data analytics, combining core finance courses such as Financial Management, Investment, and Derivatives Securities with advanced data processing, programming, and artificial intelligence techniques applicable to finance. It is designed to give students the ability to analyze financial data creatively and effectively, positioning them to support the growth of data analytics in financial markets.
Application fees
14.58L
1st year tuition fees
14.58L
Living cost
Applicants should have an undergraduate degree in fields like business, economics, finance, information technology, computer science, engineering, mathematics, or other quantitative areas. While a statistics course is essential, knowledge of linear algebra and calculus is highly recommended. Scores of at least 7 on IELTS or 100 on TOEFL are needed if applicable. An application can be strengthened with GMAT, GRE, or CFA Level 1 scores, and there may be an interview process.

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and acceptance rates for international students? Visit the Ontario Tech University admission page
for complete details.
Graduates of the MFDA program can look forward to careers in the rapidly growing field of financial data analysis. They will be equipped to analyze financial data using AI and data analytics tools, supporting roles in banking, trading, investment management, risk assessment, and financial consultancy. The program’s professional certification preparation further enhances employability in risk management and financial analytics roles.