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Postgraduate taught

MSc Mathematical Modelling in Biology and Medicine - 2023 entry

Please note: The below is for 2023 entries. Click here for 2022 entries.
UCAS code 1234
Duration 1 year full time
Entry year 2023
Campus Streatham Campus
Discipline Mathematics

Web: Enquire online
Phone: +44(0)1392 724061

Typical offer

View full entry requirements

A 2:1 degree or equivalent

Contextual offers


  • Develop skills in fundamental aspects of mathematical biology
  • Learn about mechanistic mathematical modelling and dynamical systems theory applied to biology, ecology, neuroscience, synthetic biology and medicine complemented by advanced data science methods
  • 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.
  • Interact with world-leading research groups at the Living Systems Institute and gain first-hand experience of interdisciplinary study, including performing biological experiments and analysing biological datasets
Apply for Sept 2023 entry

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View 2022 Entry

Fast Track (current Exeter students)

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Phone: +44 (0)1392 72 72 72

Professor Krasimira Tsaneva Atanasova talks about Mathematical Modelling Biology and Medicine at the University of Exeter.

Top 10 in the Russell Group for Teaching Quality and Student Experience

Times and Sunday Times Good University Guide 2022

Wide range of exciting and high-impact research projects

Research expertise in climate modelling and statistics; control and dynamics; systems biology; astrophysical fluid flows and number theory

Entry requirements

Normally a 2:1 Honours degree or equivalent in a mathematics, science or engineering subject, with significant mathematics content.

Requirements for international students

If you are an international student, please visit our international equivalency pages to enable you to see if your existing academic qualifications meet our entry requirements.

Entry requirements for international students

English language requirements


Please visit our entry requirements section for equivalencies from your country and further information on English language requirements.

Course content

The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.

  • Computer-in-the-loop control of cellular population dynamics (Kyle Wedgwood)
  • Pattern formation via long-range cell-to-cell contact: revisiting Turing's morphogenesis hypothesis (Kyle Wedgwood)
  • Network modelling approaches to generating seizure onset patterns (Jen Creaser)
  • Mathematical modelling and analysis of brain dynamics in mood disorders (Jen Creaser)
  • Mathematical modelling and analysis of antibiotics uptake in gram negative bacteria and implications for antimicrobial resistance (Krasi Tsaneva-Atanasova)
  • Mathematical modelling for precision medicine (Krasi Tsaneva-Atanasova)
  • Machine learning and optimisation for combined antibiotic treatments (Ozgur Akman)
  • Data science approaches to optimising synthetic minimal media (Ozgur Akman)
  • The nonlinear neural dynamics of synchronising to complex rhythms (James Rankin)
  • The impact of hearing loss on language networks (James Rankin)
  • A mathematical and computational framework for neurobiological modelling: Behaviour-driven optimisation of neural connectivity (Roman Borisyuk)
  • What does that neuron do? A study of the neural circuits that produce swimming in the tadpole (Roman Borisyuk)
  • Dynamics of locomotion and phagocytosis in shape-changing cells: theory and experiments (Kirsty Wan)
  • A novel opto-hydrodynamical platform for studying microorganism movement in three-dimensions (Kirsty Wan)
  • Modelling convergent cell signalling pathways mediating the neurophysiological stress response (Jamie Walker)
  • Modelling the relationship between ion channel expression and electrical activity in stress-sensitive cells (Jamie Walker)
  • Linking models of large-scale brain networks with data to understand neurological disorders (Marc Goodfellow)
  • Personalised brain models for the management of epilepsy (Marc Goodfellow)


2023/24 entry

UK fees per year: 

£11,000 full-time

International fees per year: 

£25,000 full-time

Fee information

Fees can normally be paid by two termly instalments and may be paid online. You will also be required to pay a tuition fee deposit to secure your offer of a place, unless you qualify for exemption. For further information about paying fees see our Student Fees pages.

UK government postgraduate loan scheme

Postgraduate loans are now available for Masters degrees. Find out more about eligibility and how to apply.


We invest heavily in scholarships for talented prospective Masters students and have over £2.5 million in scholarships available for students applying to study with us in 2023, including our Global Excellence Scholarships* and Green Futures Scholarships* for international fee paying students.

For information on how you can fund your postgraduate degree at the University of Exeter, please visit our dedicated funding page.

*Selected programmes only. Please see the Terms and Conditions for each scheme for further details.

Teaching and research

Mathematical Biology is an important field of research that is crucial for developing our understanding of living systems. In turn, the complexity of living systems can inspire the development of new mathematical approaches.

The University of Exeter encourages inter-disciplinary working, and we have a growing team of researchers tackling some of the most important current problems in the field. In particular, we collaborate with experts in biology and medicine in order to use mathematics to build a better understanding of disease, thereby improving diagnosis and treatment.

Research-led teaching

We believe every student benefits from being taught by experts active in research and practice. You will discuss the very latest ideas, research discoveries and new technologies in seminars and in the field and you will become actively involved in a research project yourself. All our academic staff are active in internationally-recognised scientific research across a wide range of topics. You will also be taught by leading industry practitioners.


Modules are either assessed by coursework only, or a mixture of coursework and an exam. The project entails a short initial report or project proposal of around 1,000 words, a public presentation and a dissertation of 10,000 to 20,000 words. This is assessed by your supervisor and a second marker.

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Our MSc Mathematical Modelling in Biology and Medicine provides students with a broad range of technical and analytical skills relevant to industrial sectors including the pharmaceutical industry, healthcare providers, software engineering and data analytics.

The skills you will acquire in mathematical modelling can be applied in a range of academic or industrial research fields, including epidemiology (spread of disease), neuroscience, translational medicine and synthetic biology (re-designing natural systems).

A Masters course can also lead to further academic study such as a PhD.

Dedicated careers support

You will receive support from our dedicated Career Zone team, who provide excellent career guidance at all stages of career planning. The Career Zone provides one-on-one support and is home to a wealth of business and industry contacts. Additionally, they host useful training events, workshops and lectures which are designed to further support you in developing your enterprise acumen. Please visit the Career Zone for additional information on their services.