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Queen Mary University of London: Artificial Intelligence in the Biosciences
| Institution | Queen Mary University of London View institution profile |
|---|---|
| Department | Electronic Engineering and Computer Science |
| Web | https://www.qmul.ac.uk/ |
| eecs-msc-enquiries@qmul.ac.uk | |
| Telephone | +44 (0)20 7882 7333 |
| Study type | Taught |
Summary
Applications of Artificial Intelligence (AI) tools in the biosciences are rapidly expanding and bioscientists skilled in the methods and thinking in AI are in short supply. This program aims to prepare bioscience graduates to become leaders in the application of AI methods in professional bioscience R&D workplace environments. It has been specifically designed to make AI and related computational techniques (machine learning, analysis of large data sets) accessible to biology and biomedical graduate students without any prior experience in computational methods.
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No background in computational methods needed – Learn coding, advanced statistical methods, the handling of large data sets, and applications of AI tools across biology
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Develop in demand technical skills for a field that is rapidly growing in importance
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Strong emphasis of hands-on experience in computer labs and projects using Queen Mary’s high performance computing cluster, Apocrita
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Be taught by experts in the field, actively engaged in research in this exciting new area - Programme Director Dr Axel Rossberg is co-organiser of the "Biodiversity, monitoring and forecasting" Special Interest Group at Turing
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Queen Mary is a member of the Alan Turing Institute and host of the Digital Environment Research Institute (DERI), which is amongst the UK's leaders in the development and application of Artificial Intelligence
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Our London location, the hub of the UK AI industry, will place you in prime position for getting a job in the sector when you graduate
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A 2:1 or above at undergraduate level in a Science subject such as Biology, Chemistry, Mathematics or a related subject. Other routes: For international qualifications, please refer to our website for specific entry requirements. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A 2:1 or above at undergraduate level in a Science subject such as Biology, Chemistry, Mathematics or a related subject. Other routes: For international qualifications, please refer to our website for specific entry requirements. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
Queen Mary University of London is a place where every difference is celebrated –where your unique perspective is not just welcomed, but essential. Join a community where your individuality fuels progress, and your distinct experiences shape a richer, more dynamic learning environment.
Ranked 110th in the world (QS 2026) and 24th in the world for research (Times Higher Education 2026), join students from over 170 nationalities, and study at the only campus-based Russell Group University in London.
Queen Mary is dedicated to supporting international students from all over the world and offer financial support and …
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