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The MSc Scientific Computing with Data Science at the University of Bristol is a one-year, full-time program designed for physical and life science graduates seeking to develop practical computing and data science expertise applicable to scientific research.
The program integrates Bristol’s strengths in supercomputing, cloud technologies, machine learning, and data-driven science, offering students extensive experience in applying coding, numerical methods, and data analytics to real scientific challenges across disciplines such as biology, chemistry, earth sciences, and physics.
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Course Overview:
You will be taking compulsory units which covers:
Research Software Engineering best practice, including version control, modern programming environments and testing
Data analysis methofs includinig data manipulation and cleaning, regression, ML and AI
Uses of Cloud Technologies
Data visualisation
Numerical methods
Teaching: Delivered through lectures, lab-based workshops, group projects, and research-led supervision.
Assessment: Assessed via practical assignments, project reports, presentations, and an individual research dissertation.
Group project applying coding and data analysis to problems set by industry and academic partners.
Individual research project on real-world topics under expert supervision.
Exposure to cloud technologies and best practices in research software engineering.
Streamed computing pathways to support both beginners and those with prior coding experience.
Graduates are prepared for careers in scientific computing, data science, and research across both industry and academia.
Pathway to further study or PhD in scientific computing, applied data science, or computational science.
Strong career prospects supported by industrial engagement and project-based learning.
High demand for graduates skilled in both scientific research and advanced computing.
Part time studies NOT availableThis course is intended for Physical/Life Science graduates. Applicants with a Computer Science degree are not suitable for this programme.You will typically need an upper second-class honours degree or international equivalent in Natural/Physical Sciences (Chemistry, Earth Science, Environmental Sciences, Geographical Sciences, Geology, and Physics). Life Science degrees will be considered if you can demonstrate competency in Maths with at least one undergraduate Maths module at 60% (Anatomy, Biochemistry, Biophysics, Cell biology, Computational Biology, Immunology, and more)Engineering, Mathematics and Statistics degrees will also be considered if applicants have a minimum of four science modules at 60% (Applied Mathematics, Applied Solid Mechanics, Biology, Biomedical Engineering, Biosciences, Biomaterials, Battery Technology and more)Computing experience is not essential.Scholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.IELTS: 6.5 overall, with a minimum of 6.0 in each component (listening, reading, writing, and speaking)Data ScientistScientific Software DeveloperResearch Software EngineerScientific Data AnalystMachine Learning EngineerComputational ScientistHigh-Performance Computing Specialist
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University of Bristol
