Computing, artificial intelligence and ITEvolutionary and Adaptive SystemsDIP (PG) 2 terms full-time The study of natural and artificial evolutionary and adaptive systems is at the heart of important emerging approaches to artificial intelligence, cognitive science, computational biology and related areas. Sussex is internationally renowned for its research in these interdisciplinary areas and has probably the world’s largest group in this field. This programme provides a solid grounding in the major themes of the area, including: artificial life, adaptive systems, biologically inspired robotics, complex adaptive systems, dynamical systems approaches to cognition, evolutionary systems and evolutionary computing, as well as natural and artificial neural systems. This well-established programme is taught by leading experts and there are many opportunities to interact with the thriving local community of researchers in this field. Students have access to specialist facilities including robotics labs. During the summer term a dissertation project is undertaken under the supervision of a member of faculty; this gives students the opportunity to further develop what they have learnt in the context of a piece of research. It is not unusual for work from dissertation projects to be published in conference proceedings or journals. Admission requirementsA good honours degree in a discipline requiring some numeracy and computer literacy. Very able graduates from arts fields may be considered. For further information on admission and IELTS/ TOEFL requirements, please refer to Applications and selection. FundingSome Advanced Course Studentships, supplied by the EPSRC, are available. Other scholarships may also be available. Programme structureAutumn term: you take the compulsory courses Artificial Life; Programming Techniques; Formal Computational Skills; Intelligence in Animals and Machines; and Academic Development. Spring term: you take the two compulsory courses Adaptive Systems and Neural Networks. You also take two of the following options: Computational Neuroscience; E-Business; Issues in Philosophy of Cognitive Science II; Simulation of Adaptive Behaviour; Advanced Computer Vision; From Signal to Behaviour; Dynamics of Development; Issues in Emotion and Consciousness; and Sensory and Motor Functions of the Nervous System. Not all options are available every year; additional options may be available. AssessmentYou are assessed by coursework, unseen examinations, essays and programming projects. |
Research
MPhil
DPhil
Please note: A DPhil is the term given by the University of Sussex to the award of Doctor of Philosophy by research, often referred to by other universities as a PhD. Research informationDetails of faculty and research information. Essentials
FeesRefer to Fees and finance for information on fees. Admissions and further informationPostgraduate Admissions, Refer to Applying to Sussex for further information on admissions and English language requirements. American Express
The University of Sussex and American Express have joined forces to offer an exciting new way to study and gain work experience. You will work for two years part-time in the Technologies division of American Express, based in the Sussex Innovation Centre on the University of Sussex campus, while also studying for an MSc in either Information Technology for E-Commerce or Human-Centred Computer Systems in the Department of Informatics.* Your tuition fees for the course will be paid by American Express and you will receive a competitive salary based on a working week of 30 hours. At the end of the two years, the highest performing students will have an opportunity to gain a full-time job with American Express. This opportunity is available to EU students only
and you must be entitled to study part-time and
work 30 hours per week in the UK to be eligible
for consideration.
For more information contact: * Please note that it is possible to study for the MSc in Information Technology for E-Commerce and the MSc in Human- Centred Computer Systems full-time or part-time, without undertaking the work experience component with American Express. |
| Contact details and term dates | ||
|---|---|---|
For pre-application enquiries:Student Recruitment Services |
For post-application enquiries:Postgraduate Admissions |
|
Teaching term dates 2008-2009 | ||
|
Autumn term |
Spring term |
Summer term |
| Postgraduate students will normally be registered from 1 October 2008 to 30 September 2009 | ||
