Artificial Intelligence for Science MSc

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. Key benefits Elevate your existing scientific or mathematical expertise with a thorough grounding in AI, its foundations, and techniques for machine learning and artificial intelligence application. Study in the heart of London, giving unparalleled access to research facilities and external partners in industry, government and non-profit agencies. Acquire highly valued leadership and collaboration skills, alongside the creativity and adaptability to apply AI techniques to real-world scientific problems. Develop the entrepreneurial mindset that drives AI applications in business and research. Understand the ethical, legal and environmental context for the next generation of AI. Be inspired by research-led teaching from recognised leaders in their field.

A minimum high 2:1 undergraduate Bachelor’s (honours) degree with a final mark of at least 65% or aboveIf you have a lower degree classification, or a degree in an unrelated subject, your application may be considered if you can demonstrate significant relevant work experience, or offer a related graduate qualification (such as a Masters or PGDip).Programme specific requirementsA 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.