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MSc in Biomedical Data and Artificial Intelligence, University of Exeter

Exeter,

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12 Months

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About this course

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This MSc program focuses on developing skills in data science and AI, driven by current research in biology and medicine. You will learn about mechanistic mathematical modeling and dynamical systems theory as applied to various fields like biology, ecology, neuroscience, synthetic biology, and medicine, alongside advanced data science methods. The course offers regular seminar series featuring internal and guest speakers to keep you updated on cutting-edge research. Practical sessions will enhance your proficiency in industry-standard programming languages such as MATLAB and Python. An independent research project allows you to explore your interests in depth, supported by academic mentorship, and provides the opportunity to contribute to ongoing research efforts. Additionally, you'll gain firsthand experience of interdisciplinary study by working with world-leading research groups at the Living Systems Institute, including performing biological experiments and analyzing datasets.

Why this course is highly recommended

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This program is ideal for students interested in applying mathematical and data science skills to biological and medical research. Its connection to world-leading research groups at the Living Systems Institute, combined with practical experience in programming and biological data analysis, makes it highly valuable. The course’s emphasis on interdisciplinary study prepares students for careers in industry and academia, with opportunities for further research or professional development in fields like neuroscience, epidemiology, and translational medicine.

Specialisation

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The course integrates mathematical modeling, data science, and AI specifically tailored to biological and medical applications. Through modules and research projects, students can focus on areas such as systems biology, neuroscience, epidemiology, synthetic biology, and medical research, enhancing their expertise in these interdisciplinary fields.

Course fees

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Application fees

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1st year tuition fees

30.19L

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Living cost

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Degree requirements

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Applicants typically need a 2:1 degree or equivalent in a mathematics, science, or engineering subject with significant mathematics content.
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English language test

IELTS

6.5

TOEFL

90

PTE

67

DUOLINGO

120

Career prospects

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Graduates will possess technical and analytical skills applicable to industries such as pharmaceuticals, healthcare, software engineering, and data analytics. The course also prepares students for research in epidemiology, neuroscience, and synthetic biology, with options to pursue further academic study like a PhD. Support from the dedicated Career Zone helps with career planning and industry connections.

FAQs

What programming languages will I learn?

You'll become proficient in industry-standard programming languages such as MATLAB and Python through practical sessions.

Can I undertake research in my areas of interest?

Yes, the program includes an independent research project where you can focus on your interests and contribute to current research.