The University of Waterloo is home to North America’s only Faculty of Mathematics, and the largest concentration of researchers in mathematics and computer science. The Faculty of Mathematics connects theoretical advances and innovative mathematics to develop novel solutions to pressing problems. This means you'll have the opportunity to pursue a broad range of areas and ideas in math and computer science – from foundational theory to applied research and commercial solutions.
With more than 1,100 graduate students and 290 faculty members, we have the breadth and depth of knowledge, experience and expertise to excel in both academic pursuits and the application of our skills to real-world problems.
As a graduate student, you’ll be working with leading mathematicians and computer scientists to explore various research areas. Our faculty members and graduate students have the opportunity to work across different academic units for joint or interdisciplinary research, opening the doors to new methods and discoveries.
1100+graduate students in the Faculty of Mathematics
$27.3Min research funding2020/21
15Canada Research Chairs, one Canada 150 Chair and two Officers of the Order of CanadaOur fields of study
- Actuarial science
- Algebra and logic
- Algebraic combinatorics
- Algorithms and complexity
- Analysis and functional equations
- Artificial intelligence
- Bioinformatics
- Biostatistics
- Computational mathematics
- Computational statistics
- Computer algebra and symbolic computation
- Computer graphics
- Continuous graphics
- Continuous optimization
- Control and dynamical systems
- Cryptography
- Data Science
- Databases
- Discrete optimization
- Fluid mechanics
- Formal methods in computer science
- Geometry and topology
- Graph theory
- Health informatics
- Human-computer interaction
- Industrial statistics
- Information retrieval
- Mathematical and computational finance
- Mathematical medicine and biology
- Mathematical physics
- Networks and distributed systems
- Number theory
- Probability theory
- Programming languages
- Quantitative finance
- Quantum computing
- Scientific computing
- Software engineering
- Statistical theory and methods
