Modelling Biological Complexity MRes
Postgraduate
In London
Description
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Type
Postgraduate
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Location
London
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Duration
1 Year
The Modelling Biological Complexity MRes is designed for students whishing to develop the skills to apply mathematical, computational and physical science techniques to real biological problems. The programme provides a broad overview of cutting edge research at the interface of the life, mathematical and physical sciences.
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Start date
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About this course
The programme is aimed at outstanding mathematics, engineering, computational, physics, life science and medical graduates who wish to gain the core skills needed for interdisciplinary research. The MRes can be taken as a stand-alone programme or can be taken as the first year of the four-year integrated MRes plus PhD programme.
A minimum of an upper second-class Bachelor's degree in any area of the mathematical, physical, computer, engineering or life sciences from a UK university or an overseas qualification of an equivalent standard. For students from the life science, some mathematics experience is necessary (e.g. a minimum of an 'A' grade of A Level mathematics).
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Subjects
- Computational
- Modelling
- Modelling & Analysis
- Modelling and Analysis
- Biological Complexity
- Biological
- Biological problems
- Mini projects
- Generic skills
- Biomedical systems
Course programme
Foundation courses use innovative teaching methods for interdisciplinary research to provide essential background knowledge in computational, mathematical and physical techniques and a broad introduction to core biological concepts and systems. A range of interdisciplinary research-driven projects follow in which students gain experience of different research techniques and a range of areas of biological interest.
Students undertake modules to the value of 180 credits.
The programme consists of four compulsory modules: foundation courses module, transferable skills module (20%), three mini projects (40%) and a research (summer) project (40%).
Core modules- Modelling Biological Complexity: Foundation Course covering machine learning, statistics and mathematical modelling applied to biomedical systems (non credit bearing)
- Transferable and Generic Skills
- Mini projects
- Research (summer) Project
There are no optional modules for this programme.
Dissertation/reportAll students undertake an independent research (summer) project, which culminates in a dissertation of up to 15,000 words, a short presentation and an oral examination.
Teaching and learningThe programme is delivered through a combination of lectures, laboratory work, case presentations, seminars, tutorials and project work. Student performance is assessed by essays, mini projects, oral and poster presentations, a computer programming and biological database task, web development, the research project and an end-of-year viva.
Additional information
Modelling Biological Complexity MRes