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.
News
Congratulations to the Best Speaker Award Recipient of Winter 2026
The CM Winter 2026 Research Presentation took place on Tuesday, April 7. At the event, Anders Conect was recognized as the recipient of the Best Speaker Award.
Congratulations to the Best Speaker Award Recipients of Fall 2025
Two CM graduate students, Omar Hayat and Alex Starr, were recognized with Best Speaker Awards at the Fall 2025 CM Research Presentation event for their outstanding research and presentations.
Congratulations to Omar and Alex on this well-deserved recognition, and to all participating students on their excellent presentations.
Congratulations 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!