Biomedical Research Data Science 3
  • Postgraduate taught
  • MRes

Biomedical Research (Data Science)

Interdisciplinary training in 'big data' analysis, building skills towards a career in biomedical research.

Receive interdisciplinary training in 'big data' analysis and build skills towards a career in biomedical research

Learn how to implement statistical and machine learning techniques and interpret data sets

Develop your communication, presentation and grant-writing skills across two research projects

Course key facts

Minimum entry standard

  • 2:1 in an appropriate subject

View full entry requirements

Course overview

Receive interdisciplinary training in 'big data' analysis in relation to biomolecular studies on this Master's course.

On this stream of the MRes in Biomedical Research, you'll receive core training in multivariate statistics, chemometrics and machine learning methods.

The course will build your research experience in the development and application of these methods to real-world biomedical studies.

You'll also learn to handle large-scale data from molecular phenotyping techniques such as metabolic profiling and related genomics approaches.

Two research projects are major components of this course.

These will help you develop communication, presentation and grant-writing skills, and become familiar with evaluating research reports.

Choose your stream

You have the option of choosing our general biomedical research stream, or one of eight specialisms. All of our biomedical research streams have the same course structure and each stream has its own tailored set of projects alongside a core programme of lectures, seminars and practical classes.

You should consider which stream is right for you according to your career aims and background. If an offer of admission is made, it will correspond to a specific stream. Switching streams is not possible once you have commenced your studies.

Is this stream for you?

This stream is suitable for students with a degree in physical sciences, engineering, mathematics computer science who wish to apply their numeric skills to solve biomedical problems with big data.

You will gain experience in analysing and modelling big data from technologically advanced techniques applied to biomedical questions.

You will perform novel computational informatics research and exercise critical scientific thought in the interpretation of results, implement and apply sophisticated statistical and machine learning techniques in the interrogation of large and complex biomedical data sets.

This stream is delivered by the Department of Metabolism, Digestion and Reproduction.


This page is updated regularly to reflect the latest version of the curriculum. However, this information is subject to change.

Find out more about potential course changes.

You’ll take all of these core modules.

Core modules

Teaching and assessment

Teaching and learning methods

  • Demonstrations and seminars
  • Workshops
  • Computing labs
  • Journal clubs
  • Blackboard virtual learning environment
    Virtual learning environment
  • Four students sitting in a tutorial
  • Lab-based learning
  • ID badge for site visit or facility tour
    Facility Tours
  • Person at lectern giving speech
  • Debates

Balance of assessment


  • Grant writing exercise
  • Research projects

  • 10% Grant writing exercise
  • 90% Research projects

Assessment methods

  • Microscope for lab work
    Laboratory-based research
  • Computer-based research
  • Oral presentation
  • Poster presentation
  • Papers from a written report
    Research reports
  • Oral assessment

Entry requirements

We consider all applicants on an individual basis, welcoming students from all over the world.

How to apply

Applications open on 2 October 2023

Tuition fees

Home fee

2024 entry

As a guide, the fee for 2023-24 was £19,000

Overseas fee

2024 entry

As a guide, the fee for 2023-24 was £40,800

Your future career

Test tubes

Acquire transferable skills relevant to a career in biomedical research and related areas.

Person with magnifying glass over head

Develop the skills necessary to plan, conduct, publish, and obtain funding for successful research.

Teacher in front of classroom

Expert leaders in the field provide practical training for a research career.

Graduate Cap above rolled Degree

Our graduates often pursue further study in doctoral research.

Lightbulb above a book

With specialised knowledge, you'll be highly sought after in a range of sectors.

Computer monitor showing data

Data science engineering, molecular epidemiology research, and translational bioinformatics research are just some of your options.

Man with a rocket in his mind

Other potential career paths could include health and technical consultancy and biomedical software start-ups.

Terms and conditions

There are some important pieces of information you should be aware of when applying to Imperial. These include key information about your tuition fees, funding, visas, accommodation and more.

Read our terms and conditions

You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.

Programme specifications