Welcome to Computational Mathematics

Computational Mathematics at the University of Waterloo is an interdisciplinary research and education centre that combines our globally recognized expertise in Mathematics, Statistics, Optimization and Computer Science and applies it to challenging computational problems in the real world. The centre oversees undergraduate and Master's degrees in Computational Mathematics and is a hub for research and industrial collaboration. About 80 Faculty Affiliates from all five academic units of Waterloo's Faculty of Mathematics participate in the centre.

In a time of big data and ever-increasing computer power, Computational Mathematics methods are key drivers of progress and innovation in many areas that include:

  • Finance, Banking and Insurance
  • Data Science and Machine Learning
  • Biology and Medicine
  • Weather and Climate
  • Fundamental and Applied Research
  • and numerous other areas of Science, Engineering, Industry and Government

Our co-op students and graduates hold among the most interesting and rewarding high-end technology jobs.

    Please explore our world-class educational programs and our broad areas of research and expertise.

    1. Dec. 6, 2023Congratulations to the Best Speaker Award recipient

      Shujie Liu, a CM research student, presented their Computational Mathematics research paper to their peers and supervisors on December 6th, 2023.

      Shujie was awarded the Best Speaker Award for their presentation on their research topic Synthetic Asset Price Paths Generation Using Denoising Diffusion Probabilistic Model.

      Congratulations Shujie on a job well done!

    2. Sep. 22, 2023Math+X Inter-Faculty Research Workshop on Interdisciplinary Applications of Data

      The Math faculty hosted the Data + Computation for the 5 Global Futures workshop on September 20th with the goal of initiating inter-Faculty, interdisciplinary research. With over 40 researchers from the six faculties in attendance, the workshop provided information on the new provost-funded Interdisciplinary Master's Fellowship in Computation and Data (i-Comp-Data) and held presentations from researchers across the university to shed light on current and potential applications of data and computation.

      Six Computational Math Masters students currently have projects funded by the i-Comp-Data fellowship program with supervisors from the Math, Engineering, Environment, Science, and Arts faculties, their projects can be viewed on the i-Comp-Data website under Funded Projects.

      If you are a faculty member or a student who would like to get involved, you can view the Prospective Supervisors or Prospective Students pages for more information.

    3. Aug. 11, 2023Congratulations to the Best Speaker Award recipient

      Brian Li, a CM research student, presented their Computational Mathematics research paper to their peers and supervisors on August 11th, 2023.

      Brian was awarded the Best Speaker Award for his presentation on his research topic A SAT Solver + Computer Algebra Attack on the Minimum Kochen-Specker Problem.

      Congratulations Brian on a job well done!

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    The era of Computational Mathematics

    In a time of big data and ever-increasing computer power, Computational Mathematics methods are key drivers of progress and innovation in many areas of application that include:

    • Banking, Finance and Insurance
    • Data Science and Machine Learning
    • Biology and Medicine
    • Weather and Climate
    • and numerous other areas of Science, Engineering, Industry and Government