Ontario Tech University - Graduate Studies

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Modelling and Computational Science (MSc)

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Program Information

School:Ontario Tech University - Graduate Studies
Faculty:Sciences
Degree:Master
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 Master of Science (MSc) 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.
URL:Modelling and Computational Science (MSc) at Ontario Tech University - Graduate Studies
Thesis Based:Yes
Length:24 Month(s)
Cost per year:*
National: $7,579

Cost is per year, based on 3 terms.

Admission Requirements

Grade for Entrance Previous Year (%)*73
Prerequisites:*

These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.

    • 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.

    Additional Admission Requirements:
    • Letter(s) of Reference
    • Statement of Research Interests
    Please see the checklist of required documents for a list of supporting documentation that must be submitted with your application.

    * The entrance grade may change from year to year. Please contact the school for further information.

    * We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.

    Modified on November 01, 2019