Taught course

Intelligent and Adaptive Systems

University of Sussex · School of Informatics

Entry requirements

An upper second-class (2.1) undergraduate honours degree or above. Applicants typically have a background in a scientific or technical subject or other discipline requiring either numeracy or computer literacy. Students from other backgrounds who can demonstrate numeracy or computer literacy will also be considered.

Months of entry


Course content

Cover theory and practice for the design and implementation of intelligent systems – you’ll be well prepared for research and development.

Whether you’re from a computing background or not, our introduction to Java will develop your programming skills and enable you to access our specialist options.

You have the opportunity to study key areas in machine learning and complex systems, as well as a range of topics in cutting-edge areas such as:

  • cognitive modelling
  • evolutionary computation
  • image processing
  • natural language processing
  • consciousness science.

This course is currently subject to validation, in line with our procedures for assuring the quality of our degrees. This means that some course detail may change. The validation process will be concluded before the course starts.

Information for international students

Please visit: International qualifications for Masters courses or Fees and Scholarships.

Fees and funding

UK students
Please see our website
International students
Please see our website

Please visit our website for latest fees information: http://www.sussex.ac.uk/study/masters/2017/engineering-and-informatics/intelligent-and-adaptive-systems-msc

The University of Sussex aims to attract the most talented students to postgraduate study. For full details of our scholarships please visit: Masters Scholarships

Qualification and course duration


part time
24 months
full time
12 months


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

Course contact details

Student Recruitment Services
+44 (0)1273 678195