Modelling and Computational Science (Master's program)
Master of Science
|Faculty||Faculty of Science|
|Location||UOIT, North Oshawa|
|Length||Approximately 24 months, based on full time study|
|Program format||Courses with research thesis|
The Modelling and Computational Science master's program, led by an interdisciplinary faculty team, is at the confluence of mathematics, science and computer science and teaches 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. UOIT'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.
- 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:
Detailed course descriptions for any completed courses in numerical methods, linear algebra, differential equations and computing. Course descriptions should be copied from the university's academic calendar.
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.
How to apply
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.
- Applied dynamical systems
- Climate modelling
- Computational nanoscience and molecular modelling
- Computational neuroscience
- Computer science
- Fluid dynamics
- Industrial mathematics
- Materials science and photonics
- Medical imaging
- Nuclear physics
For program requirements, including required number of credits for completion, program maps and course descriptions, please see the Graduate Academic Calendar and Course Catalogue.
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 at UOIT 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.