Information for

Master of Quantitative Finance

The Master of Quantitative Finance is an interdisciplinary program. Students register in one of the three participating departments and must adhere to the requirements of their home department. Participating departments include:

  • The School of Accounting
  • The David R. Cheriton School of Computer Science
  • The Department of Statistics and Actuarial Science

The program is offered on a full-time basis only, beginning each September. Admission requirements can be found in the Graduate Studies Calendar.

The program focuses on the fundamental disciplines of mathematics, statistics, economics, computer science and finance, providing the analytical tools to solve practical problems in the complex and rapidly evolving world of today's financial industry.

Thesis option

This option requires a minimum of 4 courses including:

  • ACC 770 Finance 1 - Foundations of Finance
  • ACC 771 Finance 2 - Asset Pricing, Theory and Practice
  • two other courses, as determined by the School of Computer Science

Students elect to do the thesis option during their first term in the program in consultation with their CS faculty advisor.

Coursework option

This option requires:

  • eight core courses
  • 1 elective chosen in consultation with faculty advisor
  • Master's research paper, in computer science

Normally, for the Coursework option, two academic terms (Fall/Winter) are followed by a work term internship (Spring) and then one additional academic term (Fall).