MSc programme in Computational Neuroscience at the University of Manchester.
Computational Neuroscience represents a new and exciting interdisciplinary field where ideas and methods from Physics,
Engineering, Computer Science, Mathematics, and Biology are synergistically applied to understand brain function.

The MSc in
Computational Neuroscience at Manchester is designed to enable top
students from numerate and biological sciences to gain the necessary
tools and training to advance our knowledge about the brain.
About the programme
Quantitative methods are becoming increasingly important at the
cutting edge of research in biology, in general, and neuroscience, in
particular. Complex experimental data sets demand new mathematical
methods for their analysis. Mathematical and computer modelling are
powerful tools for bridging levels of investigation from molecules,
cells, and tissues, through to the whole brain.
You will be based in the top-rated faculty of Life Sciences at the
University of Manchester, working as part of the Computational
Neuroscience and Neuroinfomatics Group. The teaching staff is highly
interdisciplinary with backgrounds spanning Neuroscience, Physics,
Mathematics, Psychology, Biology, and Computer Science.
A few fully funded studentships are available due to financial support
from the UK Medical Research Council.
The duration of the course is 12 months, and starts September 2008.
Entry Requirements
Applicants should hold (or be about to obtain) a first or upper second
class honours degree, or the overseas equivalent. In certain
circumstances, a lower second class honours degree supplemented with
appropriate relevant work experience may be acceptable. For overseas
applicants whose first language is not English the minimum English
language requirement is IELTS 6.5, TOEFL 577 (paperbased), 233
(computer-based) or 90 (internet-based).
Please, for further information visit,
or write to
For matters relating the application process you can contact directly
the graduate office at, or call +44
(0)161 275 5608.

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