Masters Degree Description
AI is revolutionising scientific research and driving breakthroughs, from the development of new materials to drug discovery, genomics, diagnosing patients, green energy, and even generating research ideas. This distinctive and challenging new Master’s programme is designed to give talented science and maths graduates the tools to define the future of AI for science.
Taught by world-leading academics from across our science and health disciplines, and enriched by expertise from the social sciences, arts, humanities, law and business, this course will give you the fundamental AI skills, application approaches, and the ethical, legal and environmental contexts for the future of AI in scientific discovery.
The programme will allow you to develop your scientific expertise in a rapidly changing world, equipping you as a flexible AI adopter by working on group projects based on real-world challenges from leading companies and academics. At the end of the course, you complete a dissertation project in an academic or industry-based setting.
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Featured in the UK government';s AI for Science Strategy, this course is attracting interest from across industry and academia:
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“This “first of its kind” Masters at King's, gives students of science the skills and capabilities to excel in the age of AI, and to be at the forefront of scientific research”
Vivienne Artz OBE, CEO of FTSE Women Leaders Review; and Chair of the AIDAG, International Business & Diplomatic Exchange
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“This Master';s could not be more timely - we';re on the cusp of a new age of AI-assisted scientific discovery and I could not be more excited about it!”
Professor Pearse Keane, Founder, Cascader AI
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"AI is reshaping the future of scientific discovery, and scientists mastering in it today will drive tomorrow';s innovations"
Ivana Kajic, Senior Research Scientist, Google DeepMind
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"Students graduating from this timely and ambitious Master';s programme will be sought after not only by employers in science research but also in industry, policy and government"
Bob Wigley OStJ, Chairman, UK Finance
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"AI is revolutionising the practice of science and discovery - scientists mastering in AI for Science today will be tomorrow's leaders"
Sam Genway, Scientific Director, Machine Learning and AI, LifeArc
Entry Requirements
Standard requirement: High 2:1 (65%)
A Bachelor's degree with a high (minimum of 65%) 2:1 honours (or international equivalent) in a quantitative scientific or mathematical discipline (such as Physics, Chemistry, Mathematics, Computer Science, Data Science, Engineering, Biological Sciences, Medicine, Neurosciences, Psychology, Mathematical Economics or Natural Sciences). Applicants should also have a sound background in basic mathematics, in particular familiarity with standard concepts of calculus, trigonometry, statistics, linear algebra, vectors and matrix mathematics.
A background in programming is not required.
Please note: Meeting the minimum requirements for your application to be considered does not guarantee an offer as applications for this programme are very competitive.
Student Destinations
The Careers Service runs tailored sessions for Informatics students and a careers programme which includes skills sessions and visits from top employers.
Our graduates have gone on to have successful careers working for IT companies, and the IT departments of large institutions (private and public sector). Other graduates have entered into the field of academic and industrial research.
Study Details: 1 year full-time, September to September
