Modelling and Computational Science (Master's program)
| Program start date | Application deadline |
| 2024-09-01 | - |
Program Overview
The Modelling and Computational Science Master's program combines mathematics, science, and computer science to equip students with the skills to use mathematical modeling to study real-world phenomena. The program provides a strong foundation in mathematical, scientific, and computational principles, and develops students' abilities to apply modeling to solve problems. Graduates are prepared for careers in academia, industry, or government where mathematical modeling is utilized.
Program Outline
Degree Overview:
Overview:
The Modelling and Computational Science Master's program combines mathematics, science, and computer science to teach students how to use mathematical modeling when studying real-world phenomena. This program 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 modeling process.
Objectives:
- To provide students with a strong foundation in the mathematical, scientific, and computational principles underlying mathematical modeling.
- To develop students' skills in applying mathematical modeling to solve real-world problems.
- To prepare students for careers in academia, industry, or government where mathematical modeling is used.
Description:
The program consists of coursework in mathematics, science, computer science, and modeling, as well as a research project. Students will learn about the different types of mathematical models, how to develop and implement models, and how to use models to solve problems. Students will also gain experience in using computational tools and techniques to support their modeling work.
Outline:
Content:
The program covers a wide range of topics in mathematics, science, computer science, and modeling, including:
- Mathematics: Calculus, linear algebra, differential equations, numerical analysis, and statistics.
- Science: Physics, chemistry, biology, and environmental science.
- Computer science: Programming, data structures, algorithms, and scientific computing.
- Modeling: Mathematical modeling, computational modeling, and simulation.
Structure:
The program is a two-year, full-time program that consists of coursework and a research project. Students will take a total of 10 courses, including:
- 6 core courses in mathematics, science, computer science, and modeling
- 4 elective courses in areas of interest
- A research project
Course Schedule:
The program is offered on a semester system. Students will typically take two courses per semester.
Assessment:
Students will be assessed through a variety of methods, including:
- Exams
- Quizzes
- Assignments
- Projects
- Presentations
Teaching:
The program is taught by a team of experienced faculty members from the Faculty of Science and collaborating faculties. Faculty members use a variety of teaching methods, including:
- Lectures
- Tutorials
- Labs
- Research projects
Careers:
Graduates of the Modelling and Computational Science Master's program will be prepared for careers in academia, industry, or government where mathematical modeling is used. Some potential career paths include:
- Research scientist
- Data scientist
- Software engineer
- Financial analyst
- Actuary
- Consultant