Modelling and Computational Science (Doctoral program)

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Faculty of Science

Modelling and Computational Science (Doctoral program)

Program details

Faculty
Science

Degree
Doctor of Philosophy (PhD)

Delivery method
Hybrid online/in-class

Location
�鶹��ý University, 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

Overview

A group of students gather and consult in front of data written on a whiteboard

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.

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 , the 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

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).

Additional requirements:

Prior to being accepted into the program, PhD applicants must be accepted by a professor who specializes in the applicant’s desired area of research and is willing to act as a supervisor.

Required supporting documents:

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

Required test scores for English language proficiency:

See for the minimum required test scores for this program.

Please see 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 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.

Program details

Faculty
Science

Degree
Doctor of Philosophy (PhD)

Delivery method
Hybrid online/in-class

Location
�鶹��ý University, 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

Learn more

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 and the university's Expert Centre.

Additional information

Curriculum
Funding
Fees
Contact

For program requirements, including required number of credits for completion, program maps and course descriptions, please see the academic calendar and course catalogue of Loading.... Courses are subject to change without notice.

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 .

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 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 .

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