Are you a recent graduate in a Physical or Life Science who would like to learn more about computing and how it is applied to advance scientific research? This programme will help you achieve your goals. Schools in the Faculty of Science are all ranked in the top 5 for research in the UK (THE analysis of REF 2021) and Bristol is ranked in the top ten in the UK for Natural Sciences (QS 2023). Develop your skills in coding, machine learning and high-performance computing and learn how to apply these to cutting-edge computational problems drawn from across the sciences. Scientific computing is an interdisciplinary field that uses computer science, data science and digital technology to solve problems across a wide range of subject areas, including maths, engineering, biology, physics, chemistry, geography and earth sciences. Whatever your scientific background, this programme will train you in coding and data science, building on your core scientific knowledge and giving you a robust appreciation of what can be achieved by combining these skills.
An upper second class honours degree (or international equivalent) in Natural/Physical Sciences (e.g. Chemistry, Physics, Earth Science, Geology, Geographical Sciences, Environmental Sciences). Degrees in Life Sciences (e.g. Biochemistry, Pharmacology, Molecular Biology, Computational Biology, Biophysics, Cell biology, Molecular biology, Physiology, Anatomy, Zoology, Plant sciences, Neuroscience, Psychology, Virology, Microbiology, Immunology, Medicine) will need to demonstrate competency in Maths with at least one undergraduate Maths module at 2.1 or above. Engineering or Mathematics and Statistics degrees will also be considered if applicants have a minimum of 5 science modules at 2.1 or above. Computing experience is not essential. IELTS 6.5 overall with 6.0 in all skills.
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