University of Sussex

University of Sussex

Evolutionary and Adaptive Systems

The course provides you with solid foundations in key areas such as adaptive systems, machine learning, biologically-inspired robotics, computational neuroscience, evolutionary computation and complex systems, as well as the opportunity to take a range of options in areas such as the science of consciousness. We also provide introductory courses in programming, enabling students from computing and non-computing backgrounds to access our specialist options. You will enjoy many opportunities to interact with a thriving community of active researchers.

Entry requirements

A 1st- or upper 2nd-Class undergraduate Honours degree. Applicants typically have a background in a scientific or technical subject or other disciplines requiring either numeracy or computer literacy. Students from other backgrounds who can demonstrate numeracy or computer literacy will also be considered.

Course modules

Full-time courses in the autumn term: Artificial life; intelligence in animals and machines; mathematics and computational methods for complex systems; object-oriented programming (students with a high level of programming experience may take advanced software engineering). Spring term: adaptive systems; neural networks; you also take 2 options from: Computational neuroscience; generative creativity; image processing; machine learning; neuroscience of consciousness; sensory and motor functions of the nervous system. Summer term: You undertake a dissertation project under the supervision of a member of faculty, which is usually based on a programming project. This gives you the opportunity to develop further what you have learnt in the context of a piece of research. Part-time courses year 1: In each of the autumn and spring terms you take 2 modules. In the summer term you undertake work on the dissertation. Year 2: In each of the autumn and spring terms you take 2 modules. In the spring and summer terms you complete work on the dissertation.

Assessment methods

You are assessed by coursework, unseen examinations, essays, programming projects and a 12,000-word dissertation.


Qualification Study mode Start month Fee Course duration
MSc Full-time October 2016 - 12 months
MSc Part-time October 2016 - 24 months

Campus details

Campus name Town Postcode Region Main campus Campus Partner
Sussex House Brighton BN1 9RH South East

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Key information

Telephone number: 
01273 678195