2014/15 Taught Postgraduate Programme Catalogue
MSc Artificial Intelligence (no longer recruiting)
Programme code: | MSC-AI-FT | UCAS 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:
COMP5200M | MSc Project | 60 credits | Semester 2 (Jan to Jun) | |
COMP5400M | Bio-Inspired Computing | 15 credits | Semester 2 (Jan to Jun) | |
COMP5920M | Scheduling | 15 credits | Semester 2 (Jan to Jun) |
Last updated: 13/02/2014
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