MSc Applied Mathematical Sciences with Climate and Environmental Modelling
Course Overview
This program provides a critical life sciences perspective on climate change, exploring its causes, environmental impacts, and strategies for mitigation and adaptation. Students will master advanced mathematical modelling techniques specifically tailored to analyze and predict the complex effects of a changing climate. The curriculum is enhanced by expert instruction from the School of Life Sciences, offering a unique interdisciplinary approach to this global challenge.
Key Program Highlights
- Focus on climate change causes, impacts, and solutions from a life science perspective
- Development of advanced mathematical modelling skills for environmental analysis
- Expert instruction from the University's School of Life Sciences
- Strong foundation in applied mathematical sciences with a specialized climate focus
- Prepares graduates for careers in environmental research, policy, and sustainability
Course Overview
This program provides a critical life sciences perspective on climate change, exploring its causes, environmental impacts, and strategies for mitigation and adaptation. Students will master advanced mathematical modelling techniques specifically tailored to analyze and predict the complex effects of a changing climate. The curriculum is enhanced by expert instruction from the School of Life Sciences, offering a unique interdisciplinary approach to this global challenge.
Key Program Highlights
- Focus on climate change causes, impacts, and solutions from a life science perspective
- Development of advanced mathematical modelling skills for environmental analysis
- Expert instruction from the University's School of Life Sciences
- Strong foundation in applied mathematical sciences with a specialized climate focus
- Prepares graduates for careers in environmental research, policy, and sustainability
Requirements
Modules
- Mathematical Ecology
- Modelling and Simulation in the Life Sciences
- Modelling and Tools
- Climate Change, Sustainability and Adaptation
- Optimisation
- Statistical Methods
- Data Assimilation
- Mathematical Biology and Medicine
- Partial Differential Equations
- Numerical Analysis (PDEs)
- Artificial Intelligence
- Bayesian Inference & Computational Methods
- Masters Project and Dissertation
