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.
This master's degree is for you if you studied biological science, or a quantitative or computational subject at undergraduate level.
You'll develop quantitative and computational biology skills and learn how to apply them in the area of large-scale biology.
Advances in life science rely on scientists from different areas working together. You’ll learn from experienced academics across different areas of life science including:
- experimental biologists
- computer scientists
- mathematicians
- engineers
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.
On this big data in biology degree, you’ll study 4 taught modules: 2 on programming, statistics and machine learning, and 2 optional modules on subjects that complement your research interest in biological or biomedical science.
You'll also gain subject-specific and employability skills that shape your next steps into teaching, industry, research, further study or a non-science based career.
We regularly review our courses to ensure and improve quality. This course may be revised as a result of this. Any revision will be balanced against the requirement that the student should receive the educational service expected. Find out why, when, and how we might make changes.
Our courses are regulated in England by the Office for Students (OfS).
Course lead
The course leader is Dr Rob Ewing. Dr Ewing is Associate Professor in Proteomics and Systems Biology within Biological Sciences at the University of Southampton. Visit Dr Ewing's staff profile to find out more about their research.