Course contact details
Postgraduate Taught Admissions - Faculty of Environmental and Life Sciences
Email:AdmissionsPGT.ELS@soton.ac.uk
Phone:023 8059 4732
University of Southampton
Highfield
Southampton
SO17 1BJ
Big Data Biology (Taught)
- MRes
- 1 Years
- Full-time
- 14 September 2026
- Postgraduate
- Main Site - Highfield Campus
Course summary
About this course
Explore Big Data Biology at a global top 100* university and join the data revolution in Biological Sciences.
Become an expert in research on our MRes Big Data Biology degree. Develop your quantitative and computational biology skills, and grow your knowledge of bioinformatics, biological science and computer science. With these skills you'll be able to shape the approach to data science and artificial intelligence (AI) in the biomedical and biological fields.
Your future career
You'll gain subject-specific and employability skills that will shape your next steps into a career in scienctific research, teaching, in industry, or in a non-science based career.
Key features of this course
At Southampton you'll:
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develop quantitative and computational biology skills and learn how to apply them in the area of large-scale biology
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learn from experienced academics across different areas of life science including: experimental biologists, computer scientists, mathematicians, and engineers
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study four taught modules: two on programming, statistics and machine learning, and two optional modules on subjects that complement your research interest in biological or biomedical science
Further information
An MRes course differs from an MSc in the balance of teaching to research. You'll focus on an independent research project on a subject of your choice, closely supervised by an academic. This master's degree is for you if you a studied biological science or a quantitative or computational subject at undergraduate level. Visit our course page for a full list of modules and detailed requirements.
*QS World University Rankings 2025.
Modules
For a full list of modules, please visit our website.
Assessment method
At Southampton, assessments are designed to equip you with the skills you need for success in your career.
On this course, you'll be assessed through exams and coursework in the form of: data analysis projects written critiques of scientific papers, summaries of seminars, discussions of methodology, and your research project.
How to apply
International applicants
If English is not your first language, you will need to demonstrate your English ability by meeting our Band E requirements: IELTS 6.5 overall, with a minimum of 6.5 in all components. For information on other accepted English language tests, please see our website.
Entry requirements
You'll need a 2.2 degree in a relevant subject such as biomedical sciences, data sciences, computer sciences, biological science, statistics
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6.5 | with no component below 6.5. |
All programmes at the University of Southampton are taught and assessed in English. All applicants must demonstrate they possess at least a minimum standard of English language proficiency.https://www.southampton.ac.uk/studentadmin/admissions/admissions-policies/language.page
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.
Additional fee information
https://www.southampton.ac.uk/courses/fees/postgraduate.page
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