Modelling and Computational Science (Master's program)
Overview
The Modelling and Computational Science master's program combines mathematics, science and computer science to teach students how to use mathematical modelling when studying real-world phenomena. 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.
Admissions
Admissions
- 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.
Required supporting documents:
Please see the checklist of required documents for a list of supporting documentation that must be submitted with your application.
Additional requirements:
Admission depends on the availability of a research supervisor. It is recommended that applicants contact a potential supervisor before formally applying.
In their statement of academic intent, applicants should include the type(s) of course(s) they feel they are suitable to teach as teaching assistants.
Required test scores for English language proficiency:
See English language proficiency for the minimum required test scores for this program.
Please see application deadlines for specific dates. Note that the application deadlines listed are for both the online application and all supporting documentation.
Applications for admission to all graduate studies programs are submitted online. There are five steps you must go through to complete the application process. See application process and requirements for step-by-step instructions.
Many of our graduate programs are extremely competitive; the number of qualified applicants normally exceeds the number of seats available for each intake. Satisfaction of minimum entry requirements does not ensure admission.
Research areas
- Applied dynamical systems
- Climate modelling
- Computational nanoscience and molecular modelling
- Computational neuroscience
- Computer science
- Energy
- Fluid dynamics
- Industrial mathematics
- Materials science and photonics
- Medical imaging
- Nuclear physics
Learn more about the research areas within this program and find research experts by visiting the program website and the university's Expert Centre.
Additional information
Modelling and Computational Science, MSc - Thesis option
Modelling and Computational Science, MSc - Course-based option
Internal awards and funding
Applicants to research-based graduate programs who are studying full-time are automatically considered for some types of funding at the time of admission.
Types of funding that do not require an application:
- Entrance scholarships
- Minimum funding packages
- Teaching assistantships, research assistantships and graduate research assistantships
For more details on the above funding opportunities, see graduate student awards and funding.
Please note: Part-time students are not eligible for the above funding opportunities.
External awards and funding
Graduate program applicants are encouraged to apply for external awards to help finance their education. The application process differs for each competition, so review the information carefully to determine where and when you must apply. Please note: The majority of these awards are for domestic or permanent residents only.
Tuition fees for graduate programs are charged on a flat-fee or fee-per-credit basis and vary by program and student status.
For current, specific fees and details on flat-fee versus fee-per-credit programs, please see tuition and fees.
Contact the program:
Faculty of Science
905.721.3050
gradsecretary@science.ontariotechu.ca
Contact the School of Graduate and Postdoctoral Studies:
905.721.8668 ext. 6209
gradstudies@ontariotechu.ca
