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Ontario Tech University

Dec 17, 2024

2020-2021 Graduate Academic Calendar

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2020-2021 Graduate Academic Calendar [ARCHIVED CALENDAR]

Modelling and Computational Science, MSc - Course-based option

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Degree requirements for the Master of Science (MSc) in Modelling and Computational Science are listed below. For general program information, admission requirements, graduate faculty lists and/or details on part-time options, see Modelling and Computational Science .

Degree requirements

For the MSc course-based option, students must successfully complete 30 credits, including eight 3-credit courses and the 6-credit MCSC 6002G - MSc Research Project . The eight 3-credit courses must include at least three of the following:

MCSC 6010G - Mathematical Modelling
MCSC 6020G - Numerical Analysis
MCSC 6030G - High-Performance Computing
MCSC 6040G - Modeling and Simulating Systems using Discrete Units

A minimum grade of B-minus must be achieved in each course. No more than two elective courses may be fourth-year undergraduate courses not included in the list of graduate course electives. All courses taken must be approved in advance by the student’s supervisory committee. In addition to the eight courses and the research project, students must also successfully complete the non-credit course MCSC 6000G - Graduate Seminar in Modelling and Computational Science .

Suggested progression through program

Course-based option

Year 1

Semester 1

One elective

Two courses out of the following:

MCSC 6010G - Mathematical Modelling
MCSC 6020G - Numerical Analysis
MCSC 6030G - High-Performance Computing
MCSC 6040G - Modeling and Simulating Systems using Discrete Units

Semester 2

Two electives

One course out of the following:

MCSC 6010G - Mathematical Modelling
MCSC 6020G - Numerical Analysis
MCSC 6030G - High-Performance Computing
MCSC 6040G - Modeling and Simulating Systems using Discrete Units

Semester 3

MCSC 6002G - MSc Research Project

Year 2

Semester 1

Two electives
Research project

Semester 2

MCSC 6002G - MSc Research Project

Course listing

Courses part of the degree requirements

MCSC 6000G - Graduate Seminar in Modelling and Computational Science
MCSC 6001G - MSc Thesis
MCSC 6002G - MSc Research Project
MCSC 6010G - Mathematical Modelling
MCSC 6020G - Numerical Analysis
MCSC 6030G - High-Performance Computing
MCSC 6040G - Modeling and Simulating Systems using Discrete Units
MCSC 7000G - Modelling and Computational Science Professional Skills
MCSC 7001G - PhD Thesis Proposal and Candidacy Exam
MCSC 7002G - PhD Research
MCSC 7003G - PhD Dissertation

Graduate elective courses

MCSC 6060G - Advanced Statistical Mechanics
MCSC 6070G - Advanced Quantum Mechanics
MCSC 6120G - Numerical Methods for Ordinary Differential Equations
MCSC 6125G - Numerical Methods for Partial Differential Equations
MCSC 6140G - Dynamical Systems and Bifurcations
MCSC 6150G - Fluid Dynamics
MCSC 6160G - Transport Theory
MCSC 6165G - Monte Carlo Methods
MCSC 6170G - Computational Chemistry
MCSC 6180G - Computational Physics
MCSC 6210G - Advanced Topics in Mathematical Modelling
MCSC 6220G - Advanced Topics in Numerical Analysis
MCSC 6230G - Advanced Topics in High-Performance Computing
MCSC 6240G - Advanced Topics in Dynamical Systems
MCSC 6280G - Advanced Topics in Computational Science
MCSC 7210G - Advanced Topics in Mathematical Modelling
MCSC 7220G - Advanced Topics in Numerical Analysis
MCSC 7230G - Advanced Topics in High-Performance Computing
MCSC 7240G - Advanced Topics in Dynamical Systems
MCSC 7250G - Advanced Topics in Fluid Dynamics
MCSC 7270G - Advanced Topics in Industrial Mathematics: Case Studies
MCSC 7280G - Advanced Topics in Computational Science

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