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Biomedical Data and Artificial Intelligence, MSc, University of Exeter

the United Kingdom

University of Exeter

Study options for this course

The award How you will study Study duration Course start Domestic course fees International course fees
MScFull-time1 yearSeptember--

About Biomedical Data and Artificial Intelligence, MSc - at University of Exeter

  • Develop skills in data science and AI motivated by current research in biology and medicine
  • 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

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.

Please also see our guidance on essential documentation required for an initial decision on taught programme applications.

English language requirements

International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B2.

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