MSc in Information Processing & Neural Networks

This EPSRC-supported programme is taught jointly by the Departments of Mathematics, Engineering and Computer Science. We cover definitions, properties, potential and restrictions of neural information processing systems and algorithms, and the mathematical techniques required for their analysis and design. You can choose from a wide range of modules, including: Neural Networks, Advanced Neural Networks, Information Theory in Neural Networks, Statistical Mechanics of Neural Networks, Algorithms and Computation, Computational Learning Theory, Artificial Intelligence, Cryptography and Information Security, Time Series, Communications Theory, Digital Signal Processing.

Institution: King's College London
Department: Mathematics, School of Physical Sciences & Engineering
Entry: Minimum 2.1 first degree or equivalent in any one (or jointly) of mathematics, physics, computing, engineering or other suitable scientific disciplines. A sound background in basic mathematics, in particular a familiarity with standard concepts of calculus, linear algebra, differential equations and elementary probability theory, will be assumed.
Funding: We may have a number of EPSRC master's studentships for this programme. Those wishing to be considered should indicate this on their application form, which should reach us by the end of May; later applications can also be considered in some cases.
Starting: September
Address: The Strand London WC2R 2LS
Telephone: 020 7848 2929
Contact: Admissions Administrative Assistant, pg.maths@kcl.ac.uk, 020 7848 2107
More Information: http://www.kcl.ac.uk

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