Award details

MPhil in Computational and Systems Biology

Reference	BB/H021043/1
Principal Investigator / Supervisor	Professor Simon Tavare
Co-Investigators / Co-Supervisors	Dr Boris Adryan, Professor Stephen Eglen, Professor Jasmin Fisher, Professor Julia Rose Gog, Professor Raymond Goldstein, Dr Julian Huppert, Dr Pietro Lio, Dr Florian Markowetz, Professor Juan Mata, Professor Gos Micklem, Dr Thomas Monie, Professor Stephen Oliver, Professor Steven Russell
Institution	University of Cambridge
Department	Applied Maths and Theoretical Physics
Funding type	Skills
Value (£)	223,204
Status	Completed
Type	Training Grants
Start date	01/10/2010
End date	30/09/2013
Duration	36 months

Abstract

unavailable

Summary

The aim of the course is to provide a thorough grounding, following undergraduate or graduate studies, for those students who wish to enter the fields of computational and systems biology and be able to work relatively independently on cutting-edge problems. The MPhil takes students from a variety of backgrounds and gives them a thorough grounding in the subject, from which they can go on to study for a PhD or find employment in industrial research. In this way, we help train the next generation of quantitative interdisciplinary researchers capable of applying systems approaches to many areas of biology and biotechnology. By the end of the course, students are expected to be familiar with a wide range of contexts that exploit computational approaches (e.g. next-generation sequencing, microarrays, proteomics, metabolomics, disease dynamics, neurophysiology, gene association studies) and draw on suitable methods for the analysis of data generated by these techniques. Modelling of biological systems forms a key objective of the course, from stochastic modelling of protein levels within a single cell to large-scale models of biological networks, population biology and infectious diseases.

Committee	Not funded via Committee
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	Training Grant - Masters Training Account

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