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Courses / Postgraduate / Big Data Biology (MRes)

Big Data Biology (MRes)

Master of Research
1 year
Course Type
Next course starts
September 2023

About this course

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.

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. 

Course location

This course is based at Highfield.

Awarding body

This qualification is awarded by the University of Southampton.

Download the Course Description Document

The Course Description Document details your course overview, your course structure and how your course is taught and assessed.

Changes due to COVID-19

Although the COVID-19 situation is improving, any future restrictions could mean we might have to change the way parts of our teaching and learning take place in 2022 to 2023. This means that some of the information on this course page may be subject to change.

Find out more on our COVID advice page.

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