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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 | An upper second class degree is normally required, usually in electronic engineering, computer science, mathematics or a related discipline. Students with a good lower second class degree may be considered on an individual basis. Applicants with unrelated degrees will be considered if there is evidence of equivalent industrial experience. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An upper second class degree is normally required, usually in electronic engineering, computer science, mathematics or a related discipline. Students with a good lower second class degree may be considered on an individual basis. Applicants with unrelated degrees will be considered if there is evidence of equivalent industrial experience. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
Queen Mary University of London
Queen Mary University of London was established in 1785 and is a leading research-intensive university with a difference – one that opens the doors of opportunity to anyone and supporting students to succeed.
With schools split across five campuses in central and east London, students are able to select from an exceptionally broad range of subjects across three main faculties, including the Faculty of Humanities and Social Sciences, Faculty of Science and Engineering, and Faculty of Medicine and Dentistry.
Facts
- Queen Mary is a member of the Russell Group of universities in the UK, which …
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