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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 2024). 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.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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 2024). 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.
Admission Requirements
67+
3.3+
6.5+
85+
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. Unfortunately we cannot consider applicants with Computer Science degrees for this programme.
25 Jul 2025
1 Year
Sep
Domestic
16,600 GBP
International
37,500 GBP
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc Scientific Computing with Data Science
# =134QS Subject Rankings
12 monthsProgramme duration
37,500 GBPTuition Fee/year
25 Jul, 2025Application Deadline
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
Admission Requirements
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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MSc Society, Politics and Climate Change
MSc Socio-Legal Studies
MSc Socio-Legal Studies
MSc Sociology
MSc Sociology
MSc Teaching English to Speakers of Other Languages (TESOL)
MSc Teaching English to Speakers of Other Languages (TESOL)
MSc Nutrition, Physical Activity and Public Health
MSc Nutrition, Physical Activity and Public Health
Arts and Humanities (6)
PhD Anthropology and Archaeology
PhD Anthropology and Archaeology
PhD Classics and Ancient History
PhD Classics and Ancient History
PhD Creative Writing
PhD Creative Writing
PhD English Literature
PhD English Literature
PhD French
PhD French
PhD German
PhD German
PhD Hispanic, Portuguese and Latin American Studies
PhD History
PhD History of Art
PhD Italian
PhD Linguistics
PhD Medieval Studies
PhD Music
PhD Philosophy
PhD Religion and Theology
PhD Russian
PhD Theatre and Performance
PhD Translation
PhD Comparative Literatures and Cultures
Business and Management (6)
PhD Accounting and Finance
PhD Accounting and Finance
PhD Economics
PhD Economics
PhD Innovation and Entrepreneurship
PhD Innovation and Entrepreneurship
PhD Management
PhD Management
Engineering and Technology (6)
PhD Aerospace Engineering
PhD Aerospace Engineering
PhD Civil Engineering
PhD Civil Engineering
PhD Computer Science
PhD Computer Science
PhD Cyber Security (Cyber Secure Everywhere)
PhD Cyber Security (Cyber Secure Everywhere)
PhD Electrical and Electronic Engineering
PhD Electrical and Electronic Engineering
PhD Engineering Biology
PhD Engineering Biology
PhD Geographic Data Science
PhD Mechanical Engineering
PhD Practice-Oriented Artificial Intelligence
PhD Quantum Information Science and Technologies
Life Sciences and Medicine (6)
DEdPsy Educational Psychology
DEdPsy Educational Psychology
PhD Biochemistry
PhD Biochemistry
PhD Biological Sciences
PhD Biological Sciences
PhD Cellular and Molecular Medicine
PhD Cellular and Molecular Medicine
PhD Disability Studies
PhD Disability Studies
PhD Exercise, Nutrition and Health
PhD Exercise, Nutrition and Health
PhD Oral and Dental Sciences
PhD Physiology, Pharmacology and Neuroscience
PhD Population Health Sciences
PhD Psychology
PhD Translational Health Sciences
PhD Veterinary Sciences
PhD Health and Wellbeing
Natural Sciences (6)
EngD Composites Manufacture
EngD Composites Manufacture
PhD Advanced Composites
PhD Advanced Composites
PhD Aerosol Science
PhD Aerosol Science
PhD Chemistry
PhD Chemistry
PhD Earth Sciences
PhD Earth Sciences
PhD Engineering Mathematics
PhD Engineering Mathematics
PhD Geographical Sciences (Human Geography)
PhD Geographical Sciences (Physical Geography)
PhD Mathematics
PhD Physics
PhD Superconductivity
PhD Technology Enhanced Chemical Synthesis
PhD Sustainable Futures
Social Sciences and Management (6)
PhD East Asian Studies
PhD East Asian Studies
PhD Education
PhD Education
PhD Global Challenges and Transformations
PhD Global Challenges and Transformations
PhD Law
PhD Law
PhD Politics
PhD Politics
PhD Social Policy
PhD Social Policy
PhD Social Work
PhD Sociology
PhD Sociotechnical Futures and Digital Methods
PhD Film and Television