Big Data Biology
| Award | Attendance | Study | Duration | Start | Domestic fees | International fees |
|---|---|---|---|---|---|---|
| MRes | On-Campus | Full-time | 1 - years | find out | find out | find out |
About Big Data Biology, MRes - at University of Southampton
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.
Entry requirements for this course
Contact University of Southampton to find course entry requirements.
View all courses at University of Southampton