Degree requirements
Students in the PhD program must successfully complete at least three courses. As part of the residency requirement, two of the courses must be taken at the university. At least one course must be a 7000-level course.
All PhD students must demonstrate a broad knowledge of Modelling and Computational Science. This is normally demonstrated through the completion of an appropriate set of courses at the graduate level. To satisfy the breadth requirement, the student must successfully complete courses on three out of the following four topics:
- Mathematical Modelling, following the calendar description of MCSC 6010G .
- Numerical Analysis, following the calendar description of MCSC 6020G .
- High-Performance Computing, following the calendar description of MCSC 6030G .
- Modeling and Simulating Systems using Discrete Units, following the calendar description of MCSC 6040G .
When a student is admitted to the PhD, the Graduate Admissions Committee of the program, together with the research supervisor, evaluates the courses from their previous degrees to determine which courses count towards the breadth requirement and identify the areas in which an additional course is required.
Students who enter the PhD from the Modelling and Computational Science MSc program without completing the latter will be required to take three courses in addition to those taken in the MSc.
In addition to the above requirements, students must successfully complete MCSC 7000G - Modelling and Computational Science Professional Skills , pass the PhD candidacy examination (MCSC 7001G - PhD Thesis Proposal and Candidacy Exam ) and prepare and orally defend their doctoral dissertation (MCSC 7003G - PhD Dissertation ).
