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
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.
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.
This course is based at Highfield.
This qualification is awarded by the University of Southampton.
Download the programme specification
The programme specification sets out the learning outcomes of this course and details how the course is taught and assessed.
In light of COVID-19, we’ve made changes to some elements of course delivery for 2020-21. For details as to how this has changed delivery for this course, please view the Addendum to the Programme Specification PDF.
You’ll need a 2:1 degree in a relevant subject such as:
- biomedical science
- data science
- biological science
- computer science
EU and international applicants will need to have a minimum of 4 years in higher education.
We might consider your application if you have a 2:2 degree.
Got a question?
If you're not sure that you have the right experience or qualifications to get onto this course please contact our enquiries team; we're very happy to help.Email: firstname.lastname@example.org
Tel: +44(0)23 8059 5000
COVID-19: we've made some changes to the structure of the course for this academic year. Download the programme specification addendum in 'About this course' to learn more.
This is a full-time master’s course. You’ll study for 12 months, from September to the following September.
In the first 9 months (semesters 1 and 2) you'll study the taught part of your course. As part of this, you’ll study 2 skills-based modules and choose additional optional modules.
Each semester has 12 weeks of study and a 2-week period of exams.
You'll work on your research project for the whole year
Want more detail? See all the modules in the course.
COVID-19: we've made some changes to our modules for this academic year. Download the programme specification addendum in 'About this course' to learn more.
For entry in Academic Year 2020-21
You must study the following modules in year 1:
You must also choose from the following modules in year 1:
Learning and assessment
COVID-19: we've made some changes to our learning and assessment methods for this academic year. Download the programme specification addendum in 'About this course' to learn more.
The learning activities for this course include the following:
- research project (you’ll have regular supervisory meetings)
We’ll assess you through:
- coursework in the form of:
- data analysis projects
- written critiques of scientific papers
- summaries of seminars
- discussions of methodology
- your research project
You'll undertake an extensive research project in a specialist area of your choice. You'll have regular meetings with your supervisor. This will be a tutor will research expertise in your chosen specialism.
Your supervisor will help you select the best module options for your career and research goals.
This master’s research degree prepares you for careers in:
- bioinformatics or the data science-related industry
- biotechnology, biomedical or pharmaceutical industries
- scientific officer in research or computational environment
- research science
- data analysis
- artificial intelligence research
- postgraduate research training
- business management
Careers services at Southampton
We're a top 20 UK university for employability (QS Graduate Employability Rankings 2019). Our Careers and Employability Service will support you throughout your time as a student and for up to 5 years after graduation. This support includes:
- work experience schemes
- CV/resume and interview skills workshops
- networking events
- careers fairs attended by top employers
- a wealth of volunteering opportunities
- study abroad and summer school opportunities
We have a vibrant entrepreneurship culture. You'll be able to take advantage of:
Fees, costs and funding
Fees for a year's study:
- UK/EU students pay £9,250.
- International students pay £23,136.
What your fees pay for
Your tuition fee covers the full cost of tuition and all examinations.
Postgraduate Master’s Loans (UK and EU nationals only)
This can help with course fees and living costs while you study a postgraduate master's course. Find out if you're eligible.
Funding your postgraduate studies
A variety of additional scholarships, grants and bursaries may be available to help you fund your master’s study, both from the University and from other organisations.
How to apply
To register interest or to be sent more information please contact:
Postgraduate Admissions Office:
+44(0)23 8059 4348
When you submit your application, you’ll need to include the area of research you want to work in. You’ll need to provide a background in this subject to prepare you for master’s level research.
Applications must be received no later than 4 weeks before the start of the course. You must supply all supporting documentation at least two weeks before starting your course.
We recommend you apply at least 6 weeks before the start of the course to ensure you're able to meet our requirements and apply for a visa in time.
We cannot guarantee students who do not meet these deadlines will be able to begin their course.
When you apply you’ll need to submit a personal statement explaining why you want to take the course.
You’ll need to include information about:
- your knowledge of the subject area
- why you want to study a postgraduate qualification in this course
- how you intend to use your qualification
You'll also need to send 2 academic references.
Please include the required paperwork showing your first degree and your IELTS English language test score (if you are a non-native English speaker) with your application. Without these, your application may be delayed.
Learn more about how to apply with our postgraduate application guide.
What happens after you apply
You'll be able to track your application through our online Applicant Record System.
We will assess your application on the strength of your:
- academic achievements
- relevant professional experience
- personal statement
- academic references
We'll get back to you within 6 weeks with a decision about your application.
Equality and diversity
We treat and select everyone in line with our Equality and Diversity Statement.
Got a question?
Please contact us if you're not sure you have the right experience or qualifications to get onto this course.
Tel: +44(0)23 8059 5000