Quant Guide 2021: University of Toronto

Toronto, Ontario, Canada

Photo: University of Toronto

 

 

The University of Toronto’s Master of Mathematical Finance (MMF) programme maintains its top 10 rating in this year’s Risk.net Quant Guide – thanks in no small part to its exclusivity. The course is highly selective, extending offers to just 13.5% of its 446 applicants. Luis Seco, a professor in the department of mathematical and computer sciences, remains the programme’s academic director.

Despite only a little over half of those applicants taking up their places this year, and fewer students applying overall, the MMF made significant gains in one important category, highly prioritised in Risk.net’s ranking methodology: average graduate salaries six months after course completion, across the last four years of the programme. The course reports an average of US$95,000 this year, an impressive jump from last year’s upper bound of US$70,000. That puts Toronto comfortably ahead of the neighbouring University of Waterloo, which reported average salaries of US$65,000 for this edition of the guide.

Thanks to the coronavirus, teaching has been conducted 100% remotely for the MMF programme’s first term, as well as examinations. Internships have also taken place remotely, with students receiving the necessary support from their placement sponsors. Internships for the upcoming year will take place in January. The university anticipates that they will also be remote, unless there is a significant change in circumstances and government advice.

A programme representative adds that a number of other changes have taken place to facilitate remote instruction, including the creation of a dedicated website for course materials and the relaxation of health insurance fee requirements for students not on campus.

View this institution’s entry in the 2020 guide

View other universities and a guide to the metrics tables

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• Topics
• Canada
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• Quantitative finance