Climate change stands as a formidable force, poised to reshape our environment and the very fabric of human society. Within this programme, we have tailored an educational avenue for you to delve into the intricate world of mathematical modelling as it pertains to climate change. Here, you will explore the mathematical models to analyse causes, consequences, and strategies related to climate change. Our programme will ensure that you are well-equipped with the mathematical foundations essential to excel in this dynamic field. Our academics enrich your learning journey with their research, intersecting applied mathematics and climate and environmental sciences. Their expertise spans key areas including:Climate Modelling - Developing computational models to understand and predict climate patterns, extreme weather events, and long-term climate change.Ecosystem Modelling - Modelling techniques to study predator-prey dynamics, population ecology, epidemiology, and managing natural resources.Sustainability Analytics - Leveraging optimization, statistics and machine learning to evaluate sustainability policies and drive data-based decision making.Environmental Risk Assessment - Employing mathematical and statistical methods to quantify climate-related risks and uncertainties.