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Modelling and Computational Science (Doctoral program)

Degree Doctor of Philosophy (PhD)
Faculty Faculty of Science
Location UOIT, North Oshawa
Start dates September
Length Approximately 48 months, based on full-time study
Program load Full-time
Program format Courses with PhD research thesis
Photo for Modelling and Computational Science (PhD)

The PhD in Modelling and Computational Science program, led by an interdisciplinary faculty team, is at the confluence of mathematics, science and computer science and is built on a solid foundation of high-quality research that is relevant to the needs of society.


General information

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. 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.

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.

Fields

  • Computational Physical Science
  • Scientific Computing

Admission requirements

  • Completion of a Master of Science (MSc) level degree in science, engineering or a related area from a Canadian university, or its equivalent from a recognized institution.
  • A minimum B+ average (GPA: 3.3 on a 4.3 scale or 77 to 79 per cent).
Required supporting documents:

Please see the checklist of required documents for a list of supporting documentation that must be submitted with your application.

Required test scores for English language proficiency:

See English language proficiency for the minimum required test scores for this program.


Application deadlines

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.

Research

Sample 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 faculty’s website and UOIT’s Expert Centre.

Program curriculum

For program requirements, including required number of credits for completion, program maps and course descriptions, please see the Graduate Academic Calendar and Course Catalogue.

Funding

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.

Fees

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.

Contact

For more information:

Visit the program website

Contact the program:

Faculty of Science
905.721.3050
905.721.3304 (fax)
gradsecretary@science.uoit.ca

Contact the Office of Graduate Studies:

905.721.8668 ext. 6209
gradstudies@uoit.ca 

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