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- MRes Biomedical Research (Data Science)
Course options
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Qualification
MRes - Master of Research
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Location
Hammersmith
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Study mode
Full time
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Start date
28-SEP-24
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Duration
1 year
Course summary
Overview
Receive the training required to embark on a career in biomedical research on this Master's course. This general stream of the MRes Biomedical Research provides a thorough grounding in biomedical research, covering all chemical, biological and physiological aspects. Appropriate if you are uncertain? Of the field of biomedical research you wish to go into, this stream provides training covering a broad range of techniques, rather than being discipline-specific. You'll gain the theoretical and practical knowledge required to work in a variety of biomedical environments. These include infectious disease epidemiology, mathematical modelling and statistics, genetics and evolution, and computational methods. You'll apply investigative and empirical approaches to some of the practical problems encountered in experimental and human biomedical sciences. Your work will be guided by experienced staff in one of the world's leading biomedical research institutions. Two five-month research projects will build your transferable skills through grant writing, technical workshops, and journal clubs. 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.
Study programme
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.
Modules
Tuition fees
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£ 43,250per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
6th
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Campus address
Imperial College London, South Kensington Campus, Kensington and Chelsea, SW7 2AZ, England
Subject rankings
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Subject ranking
3rd out of 115
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Entry standards
/ Max 235227 100%1st
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Graduate prospects
/ Max 100100.0 100%1st
3 -
Student satisfaction
/ Max 53.77 75%70th
65