12 monthsProgramme duration
19 Aug, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Biological Sciences
Degree
MRes
Study Level
Masters
Study Mode
On Campus
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: - develop quantitative and computational biology skills and learn how to apply them in the area of large-scale biology - learn from experienced academics across different areas of life science including: experimental biologists, computer scientists, mathematicians, and engineers - 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.
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: - develop quantitative and computational biology skills and learn how to apply them in the area of large-scale biology - learn from experienced academics across different areas of life science including: experimental biologists, computer scientists, mathematicians, and engineers - 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.
Programme overview
Main Subject
Biological Sciences
Degree
MRes
Study Level
Masters
Study Mode
On Campus
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: - develop quantitative and computational biology skills and learn how to apply them in the area of large-scale biology - learn from experienced academics across different areas of life science including: experimental biologists, computer scientists, mathematicians, and engineers - 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.
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: - develop quantitative and computational biology skills and learn how to apply them in the area of large-scale biology - learn from experienced academics across different areas of life science including: experimental biologists, computer scientists, mathematicians, and engineers - 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.
Admission Requirements
6.5+
120+
92+
67+
You'll need a 2.2 degree in a relevant subject such as biomedical sciences, data sciences, computer sciences, biological science, statistics
19 Aug 2026
1 Year
Sep
Tuition fees
International
0 GBP
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