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.

Hold a four-year honours undergraduate degree in mathematics, science or engineering, or its equivalent from a recognized institution. Minimum overall academic standing of a B (GPA: 3.0 on a 4.3 scale or 73 to 76 per cent), with a minimum B average in the last two full-time years (four semesters) of undergraduate work or equivalent. At a minimum, applicants must be acquainted with basic numerical methods, linear algebra, differential equations and possess some computing skills. English language proficiency. Additional requirements: Students should contact a potential supervisor and/or the graduate program director before formally applying.