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2014/15 Taught Postgraduate Programme Catalogue

MSc Artificial Intelligence (no longer recruiting)

Programme code:MSC-AI-FTUCAS code:
Duration:12 Months Method of Attendance: Full Time
Programme manager:Professor David Hogg Contact address:D.C.Hogg@leeds.ac.uk

Total credits: 180

Entry requirements:

A minimum UK Upper Second Class Honours (2.1) degree or equivalent in computing or a scientific subject with significant computing component.
A pass at GCSE level English Language (grade C or above).
International students must have an English language qualification at a suitable level:
IELTS 6.5 or equivalent.

School/Unit responsible for the parenting of students and programme:

School of Computing

Examination board through which the programme will be considered:

School of Computing

Programme specification:

At the end of the programme students should:
- have a broad understanding of the principal computational models used in Artificial Intelligence;
- be proficient in the technical and programming skills required to implement Artificial Intelligence systems;
- have an in-depth understanding of an area of specialisation, gained during the main project;
- be confident in applying the research methodology adopted for the main project on new problems;
- be prepared for further study either in the context of professional development or through further engagement in higher education.

The programme will:
- situate the study of Artificial Intelligence within the general context of computational modelling and complex systems.
- give an unusually wide perspective on Artificial Intelligence, covering evolutionary models, statistical and symbolic learning algorithms, qualitative reasoning, visual perception, language understanding, and bio-computation.
- be rooted in established research strengths of the School and will offer the opportunity for students to work as integral members of our research groups during their main project.
- prepare strong graduates from a range of disciplines, with some computing experience, to embark on doctoral research into the design of Artificial Intelligence systems.
- include innovative and exciting new topics on bio-inspired computing (e.g. DNA computers).


Year1 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment, Learning Context]

Compulsory modules:

Candidates will be required to study the following compulsory modules:

COMP5200MMSc Project60 creditsSemester 2 (Jan to Jun)
COMP5400MBio-Inspired Computing15 creditsSemester 2 (Jan to Jun)
COMP5920MScheduling15 creditsSemester 2 (Jan to Jun)

Last updated: 13/02/2014

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