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Department of Mathematics & Computer Science

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      • 2017/18 Shining Student | Jason Beaver
      • 2017/18 Shining Student | Jiaqi (Max) Guo
      • 2018/19 Shining Student | Cody Barnson
      • 2018/19 Shining Student | Emily Jones
      • 2018/19 Shining Student | Jeremy Wu
      • 2018/19 Shining Student | Kairvee Bhatt
      • 2018/19 Shining Student | Yash Patel
      • 2019/20 Shining Student | Cassady Campos
      • 2019/20 Shining Student | Josip Smolcic
      • 2019/20 Shining Student | Prosper Ibhamawu
      • 2019/20 Shining Student | Rajwinder Kaur
      • 2019/20 Shining Student | Steven Deutekom

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The format for the degree consists of 2-4 graduate level courses (typically, directed self-study with faculty supervision), and a thesis. In some cases, a student may be required to include undergraduate courses as well, if additional background preparation is required. The thesis is the most significant component of work towards the degree.

The first step for any prospective student is to select a potential supervisor and in consultation with the supervisor, organize a research plan including possible thesis topic, before admission to the program . Faculty research interests are a critical factor in this preliminary decision.

The department is attempting to expand and strengthen its research activities and graduate students will play an important role in this endeavour. Almost all faculty members in the department receive external or internal funding to support their research programs.

  • For more and general information consult The School of Graduate Studies website
  • Advice for Undergraduates Contemplating Grad School
  • Information for new Graduate Students

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