The past fifty years has seen a major shift towards quantitative techniques across social and economic sectors. The genomic revolution, quantum computing, development of sophisticated financial instruments, new advanced materials, and medical imaging amongst others are all premised on applying advanced mathematical techniques. This has driven unexpected demand for linkages between mathematical scientists and industry, government, hospitals, etc. At the same time, students graduating with a deep understanding of these techniques are highly sought after by industry
An expert in Applied Mathematics has the training not only in mathematical reasoning and modelling but also practical experience in scientific or industrial collaboration.
Discover the endless possibilities to accelerate your career as a world-class innovator.
Algorithm Engineer
Applied Mathematics Researcher
Artificial Intelligence Engineer
Cryptographer
Data Engineer
Data Scientist
Game Designer
MLOps Engineer
Quantitative Analyst
Quantitative Scientist
Quantitative Software Engineer
Research Engineer
Senior Associate, Investment Science
Senior Quantitative Researcher
Systems Engineer
Students must successfully complete six graduate level courses (totalling 3.0 Full Course Equivalents (FCEs)) as follows:
Two courses (1.0 FCEs) chosen from the Department of Mathematics course schedule. These must be MAT-1000 level courses or higher.
Two courses (1.0 FCEs) chosen from the Department of Computer Science’s (CSC designator) course schedule.
Two required courses (1.0 FCEs): Communication for Computer Scientists (CSC 2701H) and Technical Entrepreneurship (CSC 2702H).
An eight-month industrial internship, CSC 2703H (3.5 FCEs). The internship is coordinated by the department, and evaluated on a pass/fail basis. ‘Pass’ grades are awarded based on evaluations received from the industry/academic supervisors of the internship project and submission of an appropriately written final report, documenting the applied research internship.
