MSc Mathematical Modelling (Climate Science)

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

Overview

  • Gain expertise from Exeter Climate Systems centre, a world-leading community of staff working at the frontier of mathematics, statistics and climate science
  • Be taught by experts who directly contribute to global understanding of climate change and climate systems, including members of the Intergovernmental Panel on Climate Change and staff jointly funded by the UK Met Office
  • Gain specialist knowledge in Climate Science and learn the techniques to successfully simulate a range of mathematical phenomenon
  • Be introduced to key industry-standard programming languages such as Matlab, Python and Fortran
  • Undertake an independent research project where you’ll explore your interests in greater depth, with the support of an academic, where you can focus on or contribute to current research.

Careers

Mathematical Modelling underpins many areas of research and a degree in this area can open careers in a huge range of research and development roles. Your specialism will be relevant to any company concerned with our climate, from crop production to energy suppliers or environmental consultants.

For many students a masters course can also lead to further academic study such as a PhD.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Advanced Mathematics Project
  • Engaging with Research
  • Computational Modelling
  • Fluid Dynamics of Atmospheres and Oceans
  • Modelling the Weather and Climate
  • Functional Analysis
  • Fractal Geometry
  • Mathematical Theory of Option Pricing
  • Advanced Topics in Mathematical Biology
  • Representation Theory of Finite Groups
  • Advanced Topics in Statistics
  • Dynamical Systems and Chaos
  • Algebraic Number Theory
  • Algebraic Curves
  • Waves, Instabilities and Turbulence
  • Magnetic Fields and Fluid Flows
  • Statistical Modelling in Space and Time
  • Analytic Number Theory
  • Space Weather and Plasmas
  • Ergodic Theory
  • NQF Level 6 modules in Mathematics
  • Mathematical Modelling in Biology and Medicine
  • NQF Level 7 modules in Computer Science
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Sep 2025
    Sep 2026
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    4 - 6 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs