The past fifty years have seen a major shift towards quantitative techniques across social and economic sectors. The genomic revolution, quantum computing, the development of sophisticated financial instruments, new advanced materials, and medical imaging amongst others are all premised on applying advanced mathematical techniques.
An expert in Applied Mathematics has training not only in mathematical reasoning and modelling but also practical experience in scientific or industrial collaboration.
Demand for linkages between mathematical scientists and industry, government, hospitals, etc.
Graduating students with a deep understanding of these techniques are highly sought after by industry.
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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 in two different groups. Course groupings can be found on the Computer Science website.
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.
