Doctor of Philosophy (PhD) in Modelling and Computational Science

The PhD in Modelling and Computational Science program, led by an interdisciplinary faculty team, is at the confluence of mathematics, science and computer science and is built on a solid foundation of high-quality research that is relevant to the needs of society.Mathematical modelling is an important tool in the study of physical and biological phenomena. The field of computational science combines the implementation of mathematical models, computer algorithms and knowledge in a particular area of application in order to provide an additional tool for the study of phenomena and, in particular, to facilitate the study of problems that are intractable or difficult to study using other approaches. Mathematical models and computational science are powerful methods to study problems such as atmospheric phenomena; climate variability; molecular behaviour of matter; protein folding; option pricing in financial markets; and many other physical, biological, medical, environmental and economic problems.

Completion of a Master of Science (MSc) level degree in science, engineering or a related area from a Canadian university, or its equivalent from a recognized institution.A minimum B+ average (GPA: 3.3 on a 4.3 scale or 77 to 79 per cent).