Taught course

Intelligent Systems

Institution
University of Sussex · School of Informatics
Qualifications
MSc

Entry requirements

A first- or upper second-class undergraduate honours degree. Applicants should have a background in computing, cognitive subjects (such as neuroscience, psychology, linguistics or philosophy) or other disciplines requiring both numeracy and computer literacy. Mature applicants with relevant experience will also be considered.

Months of entry

September

Course content

This MSc prepares you for research and development in intelligent systems, covering theoretical issues and practical techniques for their design and implementation. Programming skills are developed through an introductory module in Java, enabling students from both computing and non-computing backgrounds to access a wide range of specialist options commensurate with their experience.

You can choose to organise your studies around these themes:

  • adaptive systems
  • artificial intelligence
  • creative systems
  • computational neuroscience.

Alternatively, you can devise your own interdisciplinary combination of modules according to your personal interests.

Additional entry information

Applicants should have a background in computing, cognitive subjects (such as neuroscience, psychology, linguistics or philosophy) or other disciplines requiring both numeracy and computer literacy.

Assessment

You are assessed by coursework, unseen examinations, essays, programming projects, group projects, presentations 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: Applied Natural Language Processing • Intelligent Systems Techniques • Object-Oriented Programming (students with a high level of programming experience may take Advanced Software Engineering). You also choose one option from Artificial Life • Intelligence in Animals and Machines
• Mathematics and Computational Methods for Complex Systems • Real-World Cognition • Web Computing.

Spring term: Image Processing • Machine Learning. You also choose two options from Adaptive Systems • Computational Neuroscience • Generative Creativity • Neural Networks • Neuroscience of Consciousness • Technology-Enhanced Learning Environments.

Summer term: you undertake a dissertation project under faculty supervision. There may be opportunities to collaborate in this with an industrial partner. The dissertation offers scope to specialise through research in a chosen topic, and the work of some projects has led to publication in journals and conference proceedings.

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/1572/33213#qualifications

Fees and funding

UK students
http://www.sussex.ac.uk/study/pg/2016/taught/1572/33213#fees
International students
http://www.sussex.ac.uk/study/pg/2016/taught/1572/33213#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

part time
24 months
full time
12 months

Assessment

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

Course contact details

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