Taught course

Evolutionary and Adaptive Systems

Institution
University of Sussex · School of Informatics
Qualifications
MScPGDip

Entry requirements

A first- or upper second-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.

Months of entry

September

Course content

The study of natural and artificial evolutionary and adaptive systems is at the heart of rapidly developing areas, ranging from artificial intelligence and autonomous robotics to neuroscience, consciousness and cognitive science.

Sussex is home to the Evolutionary and Adaptive Systems (EASy) research group which is renowned for its research in these interdisciplinary areas.

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 cutting-edge 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.

This course was the first of its kind and remains the gold standard in its area. You will be taught by experts at the forefront of their fields and enjoy many opportunities to interact with a thriving community of active researchers.

Additional entry information

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.

Assessment

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

Course Structure

We continue to develop and update our modules for 2016 entry to ensure you have the best student experience. In addition to the course structure below, you may find it helpful to refer to the Modules tab.

Full-time courses

Autumn term: Artificial Life • Intelligence in Animals and Machines • Mathematics and Computational Methods for Complex Systems • Object-Oriented Programming (students with sufficient programming experience may take Intelligent Systems Techniques • Applied Natural Language Processing • Advanced Software Engineering)

Spring term: Adaptive Systems • Neural Networks. Also two 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. It is not unusual for work from dissertation projects to be published in conference proceedings or journals.

Part-time courses

The part-time structure for each course is as follows:

Year 1: in each of the autumn and spring terms you take two modules. In the summer term you undertake work on the dissertation.

Year 2: in each of the autumn and spring terms you take two modules. In the spring and summer terms you complete work on the dissertation.

Information for international students

http://www.sussex.ac.uk/study/pg/2016/taught/1572/33214#qualifications

Fees and funding

UK students
http://www.sussex.ac.uk/study/pg/2016/taught/1572/33214#fees
International students
http://www.sussex.ac.uk/study/pg/2016/taught/1572/33214#fees

The University of Sussex aims to attract the most talented students to postgraduate study and offers one of the most generous scholarship programmes of any UK university. For full details of our scholarships please visit:www.sussex.ac.uk/study/money/scholarships/pgt2016/

Qualification and course duration

MSc

full time
12 months
part time
24 months

PGDip

full time
9 months
part time
18 months

Assessment

AssessmentWhat kind of work will I be doing? (proportionally)
Written/ formal examinations30
Written coursework / continuous assessment30
Dissertation40 (20000 words)

Course contact details

Name
Student Recruitment Services
Email
enquiries@enginf.sussex.ac.uk
Phone
+44 (0)1273 678195