MSc Mathematical Modelling (Biology and Medicine)

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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

  • Develop skills in fundamental aspects of mathematical biology
  • Learn about mathematical modelling and dynamical systems theory applied to biology, ecology, neuroscience, synthetic biology and medicine, as well as tools for advanced data analysis.
  • You’ll keep abreast of current research happening in this fast-moving field from a range of internal and guest speakers our regular seminar series
  • Become proficient in requisite computational tools and techniques with practical sessions including key industry-standard programming languages such as Matlab and Python.
  • 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

This degree can lead to research roles in many sectors including working for charities, hospitals and healthcare providers. The skills you will acquire in mathematical modelling can be equally well applied to other fields of study such as understanding climate change or conservation and ecology.

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
  • Mathematical Biology and Ecology
  • Advanced Topics in Mathematical Biology
  • Mathematical Modelling in Biology and Medicine
  • Advanced Topics in Statistics
  • Dynamical Systems and Chaos
  • Statistical Modelling in Space and Time
  • Applications of Data Science and Statistics
  • Computational Nonlinear Dynamics
  • Partial Differential Equations
  • Nonlinear Systems and Control
  • Stochastic Processes
  • Statistical Inference: Theory and Practice
  • Special Topics in Statistics
  • NQF Level 7 modules in Mathematics
  • NQF Level 7 modules in Computer Science
  • NQF Level 6 modules in Mathematics
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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