![]() Other useful languages are VBA, SQL, or C++. We recommend a working knowledge of at least one programming language such as Python. At the University of Waterloo, these would typically include the courses PMATH 351 (Real Analysis) or PMATH 331 (Applied Real Analysis) as well as STAT 333 (Stochastic Processes 1) and STAT 330 (Mathematical Statistics). Proficiency in these subjects is typically documented through strong grades in corrssponding courses. Specifically, applicants should be familiar and comfortable with formal, proof-oriented mathematical reasoning and they should be proficient in all of the following subjects: Our program involves a very high level of mathematical rigour and we expect our students to have a solid background in mathematics. General knowledge of financial markets and economicsĭemonstrated interest in current developments in finance Superior verbal and written communication skills Programming skills: Python, Matlab, R, or C++ Strong analytical skills and ability to handle rigorous mathematical analysis If you are applying to the Master of Quantitative Finance, then your background should closely match the following: General requirementsĪ four-year honours degree (or equivalent) in a quantitative discipline with at least an 80% average More detailed course descriptions can be found at:
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