An upper second-class undergraduate honours degree or international equivalent in Natural/Physical Sciences (for example, Chemistry, Physics, Earth Science, Geology, Geographical Sciences, Environmental Sciences) and Life Sciences (for example, Biochemistry, Pharmacology, Molecular Biology, Computational Biology, Biophysics, Cell Biology, Molecular biology, Physiology, Anatomy, Zoology, Plant Sciences, Neuroscience, Psychology, Virology, Microbiology, Immunology, Medicine). Engineering (not Computer Science) or Mathematics and Statistics degrees might also be considered.
Competency in maths must be demonstrated with a minimum of one undergraduate level maths unit achieved at 2:1 (or international equivalent). Prior computing knowledge is not essential. Applicants with a lower class of degree with relevant work experience will be considered on a case-by-case basis.
Months of entry
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. Join a Faculty whose Schools all ranked in the top 5 for research quality in the UK (THE analysis of REF 2021). 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.
You will master modern programming languages, data science and machine learning algorithms, and apply them to problems in your chosen science. You will understand the main software engineering concepts and principles involved in scientific computing and data science and use them to model complex scientific systems, giving you an edge in a competitive and fast-changing labour market. Through project work, industrial networking and visits, you will have opportunities to build contacts, opening up additional job opportunities once qualified.
Most of your core teaching will be delivered by academics linked to Bristol Scientific Computing (BriSC), who are based in the Faculty of Science. BriSC brings together experts from across the University whose teaching and research focus on applying the latest computational techniques to key scientific problems, such as changes in the earth's atmosphere, the reactions of molecules or how galaxies are formed. The learning of programming languages and computational techniques is most effective when it is practice-based. Therefore, the computing units in this programme are mainly delivered through interactive workshops and student-led activities, supported by seminars and tutorials.
The MSc in Scientific Computing with Data Science builds on the University of Bristol's unique strengths and facilities as a world-class centre for supercomputing, data science and data-intensive research.
Information for international students
See international equivalent qualifications on the International Office website.
Fees and funding
Further information on funding for prospective UK and international postgraduate students.
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Enquiries Team
- +44 (0) 117 394 1649