Biomedical Research (Data Science)
The Master of Research in Biomedical Research (Data Science) at Imperial College London is a one-year, full-time program designed to integrate data science with biomedical research. Students will explore the use of machine learning, big data analysis, and statistical methods in understanding biological data, such as genomic sequences, medical imaging, and patient records. The program covers topics like bioinformatics, computational biology, and systems biology, preparing students to apply data science techniques to biomedical challenges.
Graduates will be well-prepared for careers in biomedical research, healthcare technology, and bioinformatics, where they can apply their skills to analyze large-scale biological data and contribute to the development of personalized medicine and advanced diagnostic tools. The program’s combination of data science and biomedical research ensures that students can tackle the emerging challenges in healthcare and medical research using cutting-edge computational methods.
Key information
Key Facts
Program Title: Master of Research in Biomedical Research (Data Science)
Degree Type: Master of Research (MRes)
Duration: 1 year
Mode of Study: Full-time, On Campus
Application Deadline: 30th June 2026
Location: Imperial College London, United Kingdom
Field of Study: Biomedical Science
Language of Instruction: English
Program Structure
Semester 1 – Core Biomedical Research and Data Science
- Foundations of Biomedical Data Analysis
- Statistical Methods for Biomedical Research
- Bioinformatics and Genomic Data
- Research Methods in Biomedical Science
Semester 2 – Advanced Applications and Research Project
- Machine Learning in Biomedical Research
- Big Data Analytics in Healthcare
- Independent Research Project
- Elective Modules in Systems Biology, Computational Biology, or Personalized Medicine
Career Opportunities
Graduates from this program are prepared for careers in biomedical research, data analytics, and healthcare innovation. They can work in academic and clinical research institutions, pharmaceutical and biotech companies, and health technology firms, contributing to data-driven insights in disease mechanisms, drug discovery, and personalized medicine. The program equips students with analytical, computational, and research skills, enabling them to analyze large-scale biomedical datasets, implement statistical models, and design experiments. Graduates can also pursue roles in bioinformatics, clinical data analysis, research consultancy, or academic research, and they are well-prepared for doctoral studies in biomedical data science, computational biology, or related disciplines.
Why Choose This Program
This program provides a research-focused, one-year pathway into biomedical research with an emphasis on data science and computational methods. It combines theoretical knowledge of biomedical systems with practical experience in data analysis, machine learning, and bioinformatics. The independent research project allows students to design, execute, and analyze experiments, building a professional portfolio that demonstrates their ability to apply computational methods to real-world biomedical challenges. Graduates leave the program with the skills and knowledge to make an immediate impact in healthcare research, pharmaceutical innovation, and data-driven biomedical studies, or to pursue advanced doctoral studies in computational and translational biomedical sciences.
Contact Information
For further information, please contact the admissions office at:
Phone: +44 (0)20 7589 5111
Email: admissions@imperial.ac.uk
Address: Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
