Intelligent and Adaptive Systems MSc

Key information

Duration:
1 year full time, 2 years part time
Start date:
September 2018
Apply by:
1 August (International), 1 September (UK/EU)

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

This MSc prepares you for research and development in intelligent and adaptive systems, covering theoretical issues and practical techniques for their design and implementation.

You can choose to organise your studies around these themes:

  • artificial intelligence and cognitive modelling
  • robotics and autonomous systems
  • data science, machine learning and natural language processing
  • computational biology and consciousness science.

Why choose this course?

  • Ranked one of the top UK universities for research in computing in the most recent Research Excellence Framework (REF) – all aspects of our research environment were rated as world leading or internationally excellent.

Entry requirements

Degree requirements

You should normally have an upper second-class (2.1) undergraduate honours degree or above.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please select your country from the list.

Argentina

Degree requirements

Licenciado/Titulo with a final mark of 7.5-8.5 depending on your university. 

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Australia

Degree requirements

Bachelors degree with second-class upper division.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Azerbaijan

Degree requirements

Magistr or Specialist Diploma with a minimum average mark of at least 4 or 81%

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Bahrain

Degree requirements

Bachelors degree with CGPA 3.0/4.0 (Grade B).

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Bangladesh

Degree requirements

Masters degree with CGPA of at least 3.0/4.0.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Brazil

Degree requirements

Bacharel, Licenciado or professional title with a final mark of at least 7.5 or 8 depending on your university.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Brunei

Degree requirements

Bachelors (Honours) degree with GPA 4.0/5.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Canada

Degree requirements

Bachelors degree with CGPA 3.3/4.0 (grade B+).

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Chile

Degree requirements

Licenciado with a final mark of 5-5.5/7 depending on your university.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

China

Degree requirements

Bachelors degree from a leading university with overall mark of 75%-85% depending on your university.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Colombia

Degree requirements

Licenciado with ‘Acreditacion de alta calidad' and a GPA of 3.5.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Cyprus

Degree requirements

Bachelors degree or Ptychion with a final mark of at least 7.5.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Ecuador

Degree requirements

Licenciado with a final mark of at least 17/20.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Egypt

Degree requirements

Bachelors degree from a university with an overall grade of 75%

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

France

Degree requirements

Licence with mention bien or Maîtrise with final mark of at least 13.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Germany

Degree requirements

Bachelors degree or Magister Artium with a final mark of 2.4 or better.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Ghana

Degree requirements

Bachelors degree from a public university with second-class upper division.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Greece

Degree requirements

Ptychion from an AEI with a final mark of at least 7.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Hong Kong

Degree requirements

Bachelors (Honours) degree with second-class upper division.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

India

Degree requirements

Bachelors degree from a leading institution with overall mark of 55-70% depending on your university.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Indonesia

Degree requirements

Bachelors degree with GPA 3.5/4.0.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Iran

Degree requirements

Bachelors degree (Licence or Karshenasi) with a final mark of at least 15.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Italy

Degree requirements

Diploma di Laurea with an overall mark of at least 105.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Japan

Degree requirements

Bachelors degree with a minimum C/GPA of at least 3.0/4.0 or equivalent.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Jordan

Degree requirements

Bachelors degree with CGPA of at least 3.0/4.0.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Kazakhstan

Degree requirements

Bachelors degree with an overall mark of 4 or better (on a scale of 1-5)/GPA 3,33.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Kenya

Degree requirements

Bachelors (Honours) degree with second-class upper division.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Kuwait

Degree requirements

Bachelors degree with CGPA of at least 3.0/4.0 or B+

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Lebanon

Degree requirements

Bachelors degree with CGPA 3.5/4.0 or 14/20.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Malawi

Degree requirements

Masters degree, depending on your university.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Malaysia

Degree requirements

Bachelors degree with CGPA of at least 3.3/4.0 or B+

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Mexico

Degree requirements

Licenciado with a final mark of at least 8.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Nepal

Degree requirements

Masters degree with overall mark of 80%

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Nigeria

Degree requirements

Bachelors degree with second-class upper division or CGPA of at least 3.5/5.0.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Norway

Degree requirements

Bachelors degree with an overall grade of B.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Oman

Degree requirements

Bachelors degree with CGPA of at least 3.3/4.0.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Pakistan

Degree requirements

Four-year bachelors degree with overall grade of 65% or Masters with 60%

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Palestine

Degree requirements

Bachelors degree with GPA of at least 3.5/4.0 or B+

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Paraguay

Degree requirements

Bachelors with a final mark of at least 7.5/10.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Peru

Degree requirements

Licenciado with a final mark of 14/20 depending on your university.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Philippines

Degree requirements

Masters degree with 'very good' overall, or equivalent depending on your university.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Qatar

Degree requirements

Bachelors degree with an overall CPGA of at least 3 (on a scale of 4).

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Russia

Degree requirements

Magistr or Specialist Diploma with a minimum average mark of at least 4.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Saudi Arabia

Degree requirements

Bachelors degree with a CGPA 3.5/5.0 or 3/4.0.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Singapore

Degree requirements

Bachelors (Honours) degree with second-class upper division or CAP 4.0.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

South Africa

Degree requirements

Bachelors (honours) degree with second-class division 1.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

South Korea

Degree requirements

Bachelors degree from a leading university with CGPA of at least 3.5/4.0 or B+

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Spain

Degree requirements

Licenciado with a final mark of at least 2/4.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Sri Lanka

Degree requirements

Bachelors Special degree with upper second honours.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Switzerland

Degree requirements

Licence or Diplôme with 5/6 or 8/10.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Taiwan

Degree requirements

Bachelors degree with overall mark of 70%-85% depending on your university.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Thailand

Degree requirements

Bachelors degree with CGPA of at least 3.0/4.0 or equivalent.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Turkey

Degree requirements

Lisans Diplomasi with CGPA of at least 3.0/4.0 or equivalent depending on your university.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

United Arab Emirates

Degree requirements

Bachelors degree with CGPA of at least 3.0/4.0 or equivalent.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

USA

Degree requirements

Bachelors degree with CGPA 3.3-3.5/4.0 depending on your university.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Vietnam

Degree requirements

Bachelors degree (with a Graduate Thesis/research component) with CGPA of at least 3.3/4.0 or 7.5/10.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Zambia

Degree requirements

Masters degree with GPA of 2.0/2.5 or equivalent.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

Zimbabwe

Degree requirements

Bachelors (Honours) degree with second-class upper division.

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Please note

Our entry requirements are guidelines and we assess all applications on a case-by-case basis.

My country is not listed

If your country is not listed, you need to contact us and find out the qualification level you should have for this course. Contact us at pg.enquiries@sussex.ac.uk

Subject-specific requirements

You’re suited to this course if you have a background in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

English language requirements

IELTS (Academic)

Standard level (6.5 overall, including at least 6.0 in each component).

Check your IELTS qualification meets all of our entry requirements and find out more about IELTS

Alternative English language qualifications

Proficiency tests

Cambridge Advanced Certificate in English (CAE)

For tests taken before January 2015: grade B or above.

For tests taken after January 2015: 176 overall, including at least 169 in each skill

We would normally expect the CAE test to have been taken within two years before the start of your course.

You cannot combine scores from more than one sitting of the test. Find out more about Cambridge English: Advanced

Cambridge Certificate of Proficiency in English (CPE)

For tests taken before January 2015: grade C or above.

For tests taken after January 2015: 176 overall, including at least 169 in each skill.

We would normally expect the CPE test to have been taken within two years before the start of your course.

You cannot combine scores from more than one sitting of the test. Find out more about Cambridge English: Proficiency

Pearson (PTE Academic)

62 overall, including at least 56 in all four skills.

PTE (Academic) scores are valid for two years from the test date. Your score must be valid when you begin your Sussex course. You cannot combine scores from more than one sitting of the test. Find out more about Pearson (PTE Academic)

TOEFL (iBT)

88 overall, including at least 20 in Listening, 19 in Reading, 21 in Speaking, 23 in Writing.

TOEFL (iBT) scores are valid for two years from the test date. Your score must be valid when you begin your Sussex course. You cannot combine scores from more than one sitting of the test. Find out more about TOEFL (iBT)

The TOEFL Institution Code for the University of Sussex is 9166.

English language qualifications

AS/A-level (GCE)

Grade C or above in English Language.

Hong Kong Advanced Level Examination (HKALE)/ AS or A Level: grade C or above in Use of English.

French Baccalaureat

A score of 12 or above in English.

GCE O-level

Grade C or above in English.

Brunei/Cambridge GCE O-level in English: grades 1-6.

Singapore/Cambridge GCE O-level in English: grades 1-6.

GCSE or IGCSE

Grade C or above in English as a First Language.

Grade B or above in English as a Second Language.

German Abitur

A score of 12 or above in English.

Ghana Senior Secondary School Certificate

If awarded before 1993: grades 1-6 in English language.

If awarded between 1993 and 2005: grades A-D in English language.

Hong Kong Diploma of Secondary Education (HKDSE)

 Level 4, including at least 3 in each component in English Language.

Indian School Certificate (Standard XII)

The Indian School Certificate is accepted at the grades below when awarded by the following examination boards:

Central Board of Secondary Education (CBSE) – English Core only: 70%

Council for Indian School Certificate Examinations (CISCE) - English: 70% 

International Baccalaureate Diploma (IB)

English A or English B at grade 5 or above.

Irish Leaving Certificate

Grade C (Honours) or above in English.

Malaysian Certificate of Education (SPM) 119/GCE O-level

If taken before the end of 2008: grades 1-5 in English Language.

If taken from 2009 onwards: grade C or above in English Language.

The qualification must be jointly awarded by the University of Cambridge Local Examinations Syndicate (UCLES).

West African Senior School Certificate

Grades 1-6 in English language when awarded by the West African Examinations Council (WAEC) or the National Examinations Council (NECO).

English language support

If you don’t meet the English language requirements for your degree, you may be able to take a pre-sessional course.

Visas and immigration

Find out how to apply for a student visa

Admissions information for applicants

How to apply

You apply to Sussex using our postgraduate application system

Personal statementYes

A personal statement is a piece of writing that you submit as part of your application. It should show us that you are the right person for Sussex by telling us why you want to study your course. 

Find out how to write a personal statement

If your qualifications aren’t listed or you have a question about entry requirements, email pg.enquiries@sussex.ac.uk

Pre-Masters

Need to boost your academic skills for your taught course? Find out about Pre-Masters routes

Application deadlines

1 August (International), 1 September (UK/EU)

Course details

Full-time and part-time study

Choose to study this course full time or part time, to fit around your work and family life. Modules for the full-time course are listed below.

For details about the part-time course, contact us at enquiries@enginf.sussex.ac.uk

How will I study?

You’ll study a number of core modules and options. You’ll also work on a supervised dissertation.

If you’re new to programming, you have the opportunity to develop your Java skills. If you’re an experienced programmer, you can enhance your skills by studying advanced software engineering.

The course provides you with solid foundations in key areas such as adaptive systems, data science, complex systems and evolutionary computing. You also have the opportunity to take a range of options in cutting-edge areas such as the science of consciousness, computer vision and natural language processing.

You're assessed through:

  • coursework and essays
  • unseen examinations
  • programming projects
  • group projects and presentations
  • a 12,000-word dissertation.

MSc Project

You’ll complete a substantial MSc project, which is often practical as well as theoretical. You may have opportunities to work with an industrial partner.

Some of our previous students’ project work has led to journal and conference publication, giving them a head start in their careers.

The project demands individual responsibility and promotes skills deveopment in:

  • project management and planning
  • resourcing and scheduling
  • documentation and communication
  • critical awareness and creative thinking.

You’re encouraged to seek a project with a commercial/industrial flavour. Finding an industrial sponsor or host is fine, though you’ll still need an academic supervisor.

Modules

Core modules

Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.

Options

Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests.

Our experts

  • Cognitive Language Processing Systems

    The research of this group addresses the science and engineering of complex systems for cognitively demanding, and data- and language-intensive domains, including the integration of methods from cognitive science, natural language engineering and machine learning.

    Prof John Carroll

    Prof John Carroll

    Professor of Computational Linguistics

    Research interests

    Computational Linguistics, Computational/Corpus Linguistics, Machine Learning (AI), Medical Informatics, Natural Language Processing

    View John Carroll's profile

    Prof Peter Cheng

    Prof Peter Cheng

    Professor of Cognitive Sciences

    Research interests

    Cognitive Science, Human computer interaction, Knowledge visualisation / information visualisation / visual analystics, Tactile graphics - cognitive science of, User-authentication - cognitive biometric

    View Peter Cheng's profile

    Dr Bill Keller

    Dr Bill Keller

    Senior Lecturer in Artificial Intelligence

    Research interests

    Computational Linguistics, Computational/Corpus Linguistics, Linguistics, Machine Learning (AI), Natural Language Processing, Probabilistic Methods, Semantics And Pragmatics

    View Bill Keller's profile

    Dr Novi Quadrianto

    Dr Novi Quadrianto

    Senior Lecturer in Machine Learning

    Research interests

    Bayesian Methods, Computer Vision - Machine Learning, Ethical Machine Learning, Kernel Methods, Machine Learning (AI), Optimisation (AI), Probabilistic Methods, Time Series

    View Novi Quadrianto's profile

    Prof David Weir

    Prof David Weir

    Professor Of Computer Science

    Research interests

    Computational Linguistics, Data Science, Natural Language Processing

    View David Weir's profile

    Dr Sharon Wood

    Dr Sharon Wood

    Senior Lecturer in Computer Science & Artificial Intelligence

    Research interests

    Artificial Intelligence, Cognitive Modelling, Cognitive Science

    View Sharon Wood's profile

  • Evolutionary and Adaptive Systems (EASy)

    The EASy group has been internationally prominent since it was established in the early 1990s. It is concerned with the interfaces between the biological and computational sciences, particularly with reference to furthering understanding of brains and minds.

    Dr Luc Berthouze

    Dr Luc Berthouze

    Reader in Informatics

    Research interests

    Biomedical Signal Processing, Computational Neuroscience, Developmental Robotics, EEG, EMG, Motor Control, Network Theory and Complexity, Neuronal network, Nonlinear Dynamics and Chaos

    View Luc Berthouze's profile

    Dr Ron Chrisley

    Dr Ron Chrisley

    Reader in Philosophy

    Research interests

    Artificial Intelligence, Cognition, Cognitive Science, Consciousness, Language & Philosophical Logic, Logic, Philosophy, Philosophy Of Mind, Philosophy of Science & Mathematics, & Mathematical Logic, Robotics

    View Ron Chrisley's profile

    Prof Phil Husbands

    Prof Phil Husbands

    Research Professor Of Artificial Intelligence

    Research interests

    Adaptive Systems, Artificial Intelligence, artificial life, Bio-inspired Neural Computing, Bio-inspired Robotics, Complex System Design, Computational Neuroscience, Digital Art & Design, Evolutionary Computation, evolutionary robotics, History of Science/Medicine/Technology, Machine Learning (AI), Mobile Robots, Nervous system, Optimisation Problems, Systems neuroscience

    View Phil Husbands's profile

    Prof Thomas Nowotny

    Prof Thomas Nowotny

    Professor Of Informatics

    Research interests

    Biomimetics, Chemical Sensing, Computational Neuroscience, Dynamic Clamp, Electronic Nose, GPU Computing, High Performance Computing, Insects, Ion channels, Machine Learning (AI), Neural networks, New Computing Paradigms, Olfaction, Robotics, Systems neuroscience

    View Thomas Nowotny's profile

    Dr Andy Philippides

    Dr Andy Philippides

    Reader in Informatics

    Research interests

    computational biology, Computational Neuroscience, Computer Vision & Image Processing - Pattern Recognition, Evolutionary Computation, insect navigation, navigation, Robotics

    View Andy Philippides's profile

    Prof Anil Seth

    Prof Anil Seth

    Professor of Cognitive & Computational Neuroscience

    Research interests

    Cognitive Neuroscience, Computational Neuroscience, Consciousness, EEG, Neuroimaging, neuropsychiatry, Neuropsychology, Psychology, Time Series, Virtual Reality

    View Anil Seth's profile

    Dr Chris Thornton

    Dr Chris Thornton

    Lecturer in Computing Science

    Research interests

    Information Theory, Predictive Processing, Theoretical Cognitive Science

    View Chris Thornton's profile

    Dr Sharon Wood

    Dr Sharon Wood

    Senior Lecturer in Computer Science & Artificial Intelligence

    Research interests

    Artificial Intelligence, Cognitive Modelling, Cognitive Science

    View Sharon Wood's profile

  • Foundations of Software Systems

    This group is interested in the theory and practice of future computation and communication. We:

    • build mathematical theories of computation
    • design and evaluate distributed applications and services
    • model and analyse data representing system configurations, social networks, trust and provenance.
    Dr Martin Berger

    Dr Martin Berger

    Lecturer in Foundations Of Computation

    Research interests

    Automata Theory, Compiler Theory, Compilers, Computer Systems Security, Concurrency, Cryptography, Domain Specific Languages, Formal Methods, Formal Verification, Foundations of computation, Functional Programming, Just-In-Time Compilers, Logic, Logic for Computer Science, Meta-Programming, Network Security, Programming Languages, Programming Languages - Concurrent, Programming Languages - Distributed, Proof Assistants, Proof Theory, Semantics of Programming Languages, Software Engineering, Software Specification, Software Verification, Theorem Provers

    View Martin Berger's profile

    Dr George Parisis

    Dr George Parisis

    Lecturer

    Research interests

    Data Centre Networking and Storage, Information-Centric Networking, Network Management, Opportunistic, Delay-Tolerant Networking, Software-Defined Networking and Software Verification

    View George Parisis's profile

    Dr Bernhard Reus

    Dr Bernhard Reus

    Senior Lecturer in Computer Science & Artificial Intelligence

    Research interests

    Computational Complexity, Computer science, Foundations of computation, Software Verification

    View Bernhard Reus's profile

    Dr Peter Schrammel

    Dr Peter Schrammel

    Lecturer in Computer Science

    Research interests

    Abstract Interpretation, Abstraction, Embedded systems, Formal Verification, Hardware/Software Co-verification, Model Checking (Computing), Model-driven Software Eng, Real-time Software Systems, Satisfiability Modulo Theories, Software Engineering, Software Evolution, Software Quality, Software Safety, Software Security, Software Testing, Software Verification, Static Analysis

    View Peter Schrammel's profile

    Prof Ian Wakeman

    Prof Ian Wakeman

    Professor of Software Systems

    Research interests

    Communications networks, Datacenter Networking and Storage, delay tolerant networks, Distributed computing, Mobile Computing

    View Ian Wakeman's profile

  • Interactive Systems

    This group is concerned with the interfaces between humans and digital technology. We investigate interaction in the broadest sense, and consider it in relation to both traditional desktop-based technology and also more recent digital technologies – including mobile, immersive, ubiquitous and pervasive computing.

    Dr Natalia Beloff

    Dr Natalia Beloff

    Senior Lecturer in Software Engineering

    Research interests

    Big Data Analytics, Business models for Digital innovation, E-Business Models, Internet of things, Medical Informatics, Numerical Analysis, Remote Sensing & Earth Observation

    View Natalia Beloff's profile

    Dr Judith Good

    Dr Judith Good

    Reader in Informatics

    Research interests

    Autism Spectrum Disorders, Game Based Learning, Game Creation for Learning, Learning, Learning Programming, Mobile Computing, Multimedia, Simulations for Learning, technology for autism

    View Judith Good's profile

    Dr Kate Howland

    Dr Kate Howland

    Lecturer In Interaction Design

    Research interests

    End-user programming, Game Based Learning, Game Creation for Learning, Human computer interaction, Interaction design, Novice programming, Participatory Design, Technology Enhanced Learning

    View Kate Howland's profile

    Dr Paul Newbury

    Dr Paul Newbury

    Senior Lecturer In Multimedia Systems

    Research interests

    Technology Enhanced Learning, Virtual Prototyping

    View Paul Newbury's profile

    Dr Martin White

    Dr Martin White

    Reader in Computer Science

    Research interests

    3D Reconstructions, Blockchain Applications, Digital Heritage, Healthy Living Applications

    View Martin White's profile

Course enquiries

+44 (0)1273 678195
enquiries@enginf.sussex.ac.uk

Find out about the Department of Informatics

Fees and scholarships

How much does it cost?

Fees

UK/EU students:
£9,500 per year
Channel Islands and Isle of Man students:
£9,500 per year
International students:
£19,200 per year

Note that your fees may be subject to an increase on an annual basis.

Living costs

Find out typical living costs for studying at Sussex

How can I fund my course?

Postgraduate Masters loans

You can borrow up to £10,280 to help with fees and living costs if your course starts on or after 1 August 2017. Loans are available from the Student Loans Company if you’re from the UK or if you’re an EU national studying for a Masters.

Find out more about Postgraduate Masters Loans

Scholarships

Our aim is to ensure that every student who wants to study with us is able to despite financial barriers, so that we continue to attract talented and unique individuals.

How Masters scholarships make studying more affordable

Working while you study

Our Careers and Employability Centre can help you find part-time work while you study. Find out more about career development and part-time work

Careers

Our students are highly employable, with 95% of recent graduates’ job roles being at professional or managerial level.

Our graduates have gone on to careers in software development, systems analysis and technical communication. A high proportion of our graduates go on to undertake research degrees at Sussex and other prestigious universities.

Employers of our graduates include:

  • IBM
  • Microsoft
  • Sony
  • Siemens
  • American Express
  • Sega.

Graduate destinations

92% of students from the School of Engineering and Informatics were in work or further study six months after graduating. Recent Informatics students have gone on to jobs including:

  • games lab manager, Ubisoft
  • front end developer, Brandwatch
  • UX designer, American Express.

(EPI, Destinations of Leavers from Higher Education Survey 2015 for postgraduates)

“I’m now working on the Bayesian brain hypothesis and predictive processing – the MSc was invaluable in preparing me for research-based work.” Manuel BaltieriAssociate Tutor and PhD student

Mathematics and Computational Methods for Complex Systems

  • 15 credits
  • Autumn Teaching, Year 1 credits

This module provides a foundation in mathematical and scientific computing techniques used widely in artificial intelligence, artificial life and related fields. The material covered in this module will facilitate the study of a number of options on other MSc courses at a deeper level than would be possible without it. In particular, it is a prerequisite for the Neural Networks and Computational Neuroscience modules. Coursework is based around Matlab packages.

Topics include:

  • vectors and matrices
  • differential calculus
  • numerical integration
  • probability and hypothesis testing
  • dynamical systems theory.

Adaptive Systems

  • 15 credits
  • Spring Teaching, Year 1 credits

During this module you will gain familiarity with a number of different approaches to modelling and understanding adaptive processes in natural and artificial systems. This module covers recent work in AI that is geared towards understanding intelligence, both in natural and artificial systems, in terms of the generation of adaptive behaviour in autonomous agents acting in dynamic uncertain environments. Adaptation is studied at both the evolutionary and the lifetime scale.

Topics include: cybernetic roots of AI; frameworks for adaptive behaviour; evolutionary theory; genetic algorithms; somatic adaptation; classical control theory; fuzzy control; autonomous robots (behaviour based, subsumption architecture, evolutionary robotics); reinforcement learning; Q-learning; learning classifier systems; reinforcement learning in neural networks; applied reinforcement learning; and methods of analysis and modelling.

Machine Learning

  • 15 credits
  • Spring Teaching, Year 1 credits

In this module, you explore advanced techniques in machine learning.

You use a systematic treatment, based on the following three key ingredients:

  • tasks
  • models
  • features.

As part of the module, you are introduced to both regression and classification, and your studies emphasise concepts such as model performance, learnability and computational complexity.

You learn techniques including:

  • probabilistic and non-probabilistic classification and regression methods
  • reinforcement learning approaches including the non-linear variants using kernel methods.

You are also introduced to techniques for pre-processing the data (including PCA).

You will then need to be able to implement, develop and deploy these techniques to real-world problems.

In order to take this module, you need to have already taken the 'Mathematics & Computational Methods for Complex Systems' module (817G5), or have taken an equivalent mathematical module or have equivalent prior experience.

Intelligent and Adaptive Systems Project

  • 60 credits
  • Spring & Summer Teaching, Year 1 credits

You are given the chance to study an area you have already explored through an earlier module, or to study an individual area that interests you.

You'll build a substantial intelligent, evolutionary and/or adaptive system under the supervision of experienced faculty.

This will be on a relevant research topic of your choice, and normally involves a substantial working computer program, together with a dissertation showing a full understanding of the issues involved and a critical awareness of knowledge at the forefront of the area covered by the project.

Advanced Software Engineering

  • 15 credits
  • Autumn Teaching, Year 1 credits

In this module, you study modern approaches to large-scale software production.

You start by reviewing the key concepts in the whole life-cycle of a software product, such as:

  • requirement analysis
  • software architecture and design
  • implementation
  • quality assurance
  • maintenance activities.

Following this review, you investigate modern software engineering technology, such as:

  • version control
  • build automation
  • testing
  • logical approaches to specification
  • verification of programs and domain-specific languages.

As part of this module, you undertake team-based coursework, which involves the production of a significant software system.

Applied Natural Language Processing

  • 15 credits
  • Autumn Teaching, Year 1 credits

Applied Natural Language Processing concerns the theory and practice of automatic text processing technologies.

In this module, you study core, generic text processing models, such as:

  • tokenisation
  • segmentation
  • stemming
  • lemmatisation
  • part-of-speech tagging
  • named entity recognition
  • phrasal chunking
  • dependency parsing.

You also cover related problems and application areas, such as:

  • document classification
  • information retrieval
  • information extraction.

You gain hands-on experience with the practical aspects of this module through weekly laboratory sessions.

As part of this, you make extensive use of the Natural Language Toolkit, which is a collection of natural language processing tools written in the Python programming language.

Your seminars in this module provide in-depth discussion of a number of important issues that arise when developing natural language processing tools, including:

  • experimentation and hypothesis testing
  • advanced data smoothing techniques
  • domain adaptation
  • topic modelling
  • active learning
  • generative versus discriminative learning
  • semi-supervised learning.

Artificial Life

  • 15 credits
  • Autumn Teaching, Year 1 credits

This module provides you with an introduction to the new field of artificial life. The module has a dual focus: first in bringing computing ideas from biology to AI that are useful in synthesising hardware and software-lifeline artefacts, and secondly using computational tools for testing ideas in biology.

Topics that you will study include: cellular automata and random Boolean networks; models of growth and development; introduction to evolutionary algorithms; dynamical system approaches to cognition; coevolution; fitness landscapes; and information theory and life.

Intelligence in Animals and Machines

  • 15 credits
  • Autumn Teaching, Year 1 credits

The module will help yopu develop an understanding of what it means for an animal or a machine to behave intelligently, and how brain and behavioural systems are adapted to enable an animal to cope effectively within its environment. We consider diverse aspects of intelligence including navigation and motor control, numerical, language, memory and social skills. We ask how these are related to one another and how they are matched to the particular needs of animals and machines.

Object Oriented Programming

  • 15 credits
  • Autumn Teaching, Year 1 credits

You will be introduced to object-oriented programming, and in particular to understanding, writing, modifying, debugging and assessing the design quality of simple Java applications.

You do not need any previous programming experience to take this module, as it is suitable for absolute beginners.

Real-World Cognition

  • 15 credits
  • Autumn Teaching, Year 1 credits

This module aims to enable you to recognise the achievements and utility of cognitive science and to apply its models and methods to real-world problems. Applications of cognitive science abound in the real world.

For example, principles derived from cognitive science are applied to the design of information displays, educational technologies and safety equipment, amongst other things. The module provides a framework for characterising different types of problem. Knowledge of research findings from cognitive studies of language, decision making, reasoning and problem solving can help people make better decisions, make them less susceptible to the bogus claims of some advertisements and to help them adopt a more rational stance in their perceptions of risk (e.g. in the context of gambling, `stranger danger' and medical screening programmes).

Studies of complex problem solving give us insight into how expert performance differs from that of novices and how, for example, 'everyday' calculations in shops, markets and other real-world contexts differ from similar activities in formal educational settings. Understanding how language and cognition interact shows why some kinds of knowledge is difficult to acquire. Studies of human error show how everyday mistakes and slips occur and how they may be avoided or lessened. These are examples of the kinds of topics that can be approached from a cognitive science perspective.

Advanced Natural Language Processing

  • 15 credits
  • Spring Teaching, Year 1 credits

Advanced Natural Language Processing builds on the foundations provided by the Applied Natural Language Processing module.

You will develop your knowledge and understanding of key topics including:

  • word sense disambiguation
  • vector space models of semantics
  • named entity recognition
  • topic modelling
  • machine translation

Seminars will provide in-depth discussion of research papers related to the key topics and also general issues that arise when developing natural language processing tools, including:

  • hypothesis testing
  • data smoothing techniques
  • domain adaptation
  • generative versus discriminative learning
  • semi-supervised learning

Labs will provide the opportunity for students to improve their python programming skills, experiment with some off-the-shelf technology and develop research skills.

Image Processing

  • 15 credits
  • Spring Teaching, Year 1 credits
You will cover topics including:
  • introduction to machine vision and relation to image processing
  • camera technologies, lenses for machine vision, image formation and resolution, display technologies
  • image acquisition hardware
  • histogram manipulations
  • linear invariant systems in two dimensions
  • the convolution operation and its discrete implementation as mask operators
  • first and second order differential edge detection operators, edge-filling techniques, Hough transform
  • the 2D Fourier transform and frequency domain filters, 2D correlation 
  • scene segmentation methods and region filling
  • pattern recognition techniques, shape descriptors, Fourier descriptors, template matching
  • examples of machine vision systems in industry.

Intelligent Systems Techniques

  • 15 credits
  • Spring Teaching, Year 1 credits

This module will introduce you to the range of knowledge representation techniques used in contemporary Artificial Intelligence, and give you an understanding of their various strengths and weaknesses.

Neuroscience of Consciousness

  • 15 credits
  • Spring Teaching, Year 1 credits

Consciousness is one of the last remaining frontiers of scientific exploration, and theories and methods in neuroscience are at the front line of this endeavour. Topics covered in this module include: measuring and studying consciousness; states of consciousness (including wake, dreaming, hypnosis and vegetative state); visual consciousness (including the different roles of visual cortex and fronto-parietal network; blindsight and neglect as disorders of visual awareness); implicit learning and meta-knowledge; psychiatric disturbances of consciousness (eg hallucinations, depersonalisation); interoceptive awareness; consciousness and cortical plasticity (examples of synaesthesia, phantom limb and sensory substitution); computational models of consciousness; biological models of consciousness; and evolutionary approaches to consciousness.

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