The Department of Applied Mathematics has 30 faculty members and over 100 graduate students. We offer undergraduate plans in Applied Mathematics and Mathematical Physics that attract outstanding students. The wide range of interdisciplinary research being undertaken in the department provides a stimulating environment for our graduate program.
The department has research programs in
- Control and Dynamical Systems (including differential equations)
- Fluid Mechanics
- Mathematical Medicine and Biology
- Mathematical Physics
- Scientific Computing
New: Modified AM undergraduate programs from Fall 2025! (Including the AM-SciML program, our new major focusing on Scientific Machine Learning; new course AMATH 345 - Data-Driven Mathematical modeling; a new Climate and Sustainability specialization; and PHYS 121 no longer being required for the AM major.)
News
Chris Bauch receives funding through the Ontario COVID-19 Rapid Research Fund
The Ontario government contributed $148,000 for Chris Bauch’s research project, “How to Re-open Ontario's Economy Without Causing a Resurgence of COVID-19”. Bauch and his team will combine data from various sources to create a mathematical model of COVID-19 transmission to identify strategies to re-open the province without causing a second wave and--if necessary--how to re-close schools and workplaces in the face of a second wave while minimizing economic impacts.
Professor is New Canadian Meteorological and Oceanographic Society President
University of Waterloo’s Department of Applied Mathematics professor Marek Stastna will serve as President of the Canadian Meteorological and Oceanographic Society (CMOS). Stastna, a member of the water institute, will lead this important organization that promotes meteorology and oceanography in Canada and serves the interests of meteorologists, climatologists, oceanographers, and limnologists hydrologists, and cryospheric scientists.
Analyzing data from social media can identify potential disease outbreaks
A new method to analyze social media data could help predict future outbreaks of diseases and viruses like COVID-19 and the measles.
In a new study, researchers from the University of Waterloo examined computer simulations to develop a new method of analyzing interactions on social media that can predict when a disease outbreak is likely.