|Field of Study:||Computational Mathematics
|Description:||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.
The PhD program in Modelling and Computational Science takes advantage of the interdisciplinary nature of the Faculty of Science and collaborating faculties to offer students a program of study that introduces them to all aspects of the modelling process. The university's membership in the Shared Hierarchical Research Computer Network (SHARCNET), the Southern Ontario Smart Computing Innovation Platform (SOSCIP) and the advanced local computing infrastructure provides access to state-of-the-art computational facilities.
The objectives of the program are to provide opportunities for students to acquire knowledge and skills in mathematical modelling of real-world phenomena, computational science, computer programming and scientific communications. Graduates of the PhD program will be well prepared to enter the job market as career scientists in a variety of institutions, whether at the governmental level or in the industrial, business or financial sectors.
|Areas of Research:||Scientific Computing; Computational Physical Sciences
|Cost per year:*||
Cost is per year, based on 3 terms.