Overview
The MRes in Biomedical Research (Data Science) at Imperial College London provides a comprehensive interdisciplinary training experience focused on the analysis of 'big data' in relation to biomolecular studies. This programme is designed for those looking to develop robust skills in statistical and machine learning techniques while interpreting complex data sets. The course is structured to enhance students' research capabilities, promoting hands-on experience through two significant research projects that are integral to the curriculum.
Why Biomedical Research (Data Science) at Imperial?Imperial College London is renowned for its rigorous academic standards and innovative research environment. The university consistently ranks among the top institutions globally, offering students access to cutting-edge facilities and resources. Collaborations with leading healthcare organisations and industry partners further enrich the learning experience, ensuring that graduates are well-prepared for the demands of the biomedical field.
Tuition Fee BreakdownThe tuition fees for the MRes in Biomedical Research (Data Science) are as follows:
- £20,600 per year for domestic students
- £45,000 per year for international students
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum includes core modules that provide foundational knowledge and practical skills:
- Grant Writing Exercise: Develop a grant proposal suitable for academic funding bodies.
- Research Project 1 and Research Project 2: Engage in two mini research projects, applying advanced techniques in biomedical research.
Students can also choose from a variety of specialisation streams, each tailored to specific career aspirations and interests, including the Data Science stream.
Careers with Biomedical Research (Data Science)Graduates of this programme are well-equipped to pursue careers in various sectors, including healthcare, pharmaceuticals, and biotechnology. Alumni have found success in roles such as data scientists, biomedical researchers, and healthcare analysts, often working with leading organisations in the field. The skills developed during the course, including data analysis, critical thinking, and research communication, are highly sought after in today's job market.
Programme Structure
Courses include:
- Bacterial Pathogenesis and Infection
- Data Science
- Epidemiology, Evolution and Control of Infectious Diseases
- Microbiome in Health and Disease
- Molecular Basis of Human Disease
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- StartingApply anytime.
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Biomedical Science Data Science & Big Data View 408 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- 2:1 in an appropriate subject
- All candidates must demonstrate a minimum level of English language proficiency for admission to Imperial.
- For guidance see our accepted qualifications though please note that the standards listed are the minimum for entry to Imperial, and not specifically this Department.
Tuition Fees
-
International Applies to you
Applies to youNon-residents45000 GBP / year≈ 45000 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents20600 GBP / year≈ 20600 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Biomedical Research (Data Science).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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