Last updated on 2026-10-01
Program overview
The Modelling and Computational Science master's program combines mathematics, science, and computer science to teach students how to use mathematical modelling when studying real-world phenomena. This interdisciplinary program emphasizes the importance of mathematical models and computational science as powerful tools for analyzing complex problems across various fields, including physical, biological, medical, environmental, and economic domains. Students will gain insights into atmospheric phenomena, climate variability, molecular behavior, and more, equipping them with the skills necessary to tackle challenges that are difficult to study through traditional methods.
Program structure
The Modelling and Computational Science master's program is designed to be completed in approximately 24 months of full-time study. The program structure includes:
- Courses with a research thesis component
- In-class delivery method
- Access to state-of-the-art computational facilities through partnerships with SHARCNET and SOSCIP
- Start dates available in September, January, or May
This program offers a comprehensive introduction to all aspects of the modelling process, leveraging the interdisciplinary nature of the Faculty of Science and collaborating faculties. Students will engage in a curriculum that prepares them for advanced research and practical applications in various scientific fields.
Featured Experiences
- Access to advanced local computing infrastructure for hands-on experience
- Collaboration opportunities with faculty across various disciplines
- Research projects that address real-world problems in fields such as climate modelling and computational neuroscience
- Participation in the Shared Hierarchical Research Computer Network (SHARCNET) for enhanced computational resources
- Engagement in interdisciplinary research areas, including energy, fluid dynamics, and medical imaging
Career Options
- Data Scientist: Analyze and interpret complex data to help organizations make informed decisions.
- Computational Scientist: Utilize computational methods to solve scientific problems across various disciplines.
- Climate Modeler: Develop and analyze models to understand climate change and its impacts.
- Research Analyst: Conduct research and analysis to support scientific studies and projects.
- Software Developer: Design and implement software solutions for scientific applications and data analysis.
DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.
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