Artificial Intelligence (3 Years) [BSc]

UCAS course code: G700

UCAS institution code: M20

Degree awarded: BSc

Duration: 3 years

Typical A level offer: Grades A*AA including mathematics.

Course fees: Tuition fees for home/EU students commencing their studies in September 2018 will be announced once confirmed by the UK government. As a guide, the 2017 tuition fees were £9,250 per annum for home/EU students, and are expected to increase slightly for 2018 entry. Tuition fees for international students will be £22,000 per annum. For general information please see the undergraduate fees pages.

Scholarships/sponsorships:

All new UK/EU (home tuition fee) students, applying for first year entry, who achieve an A*A*A (including A* in mathematics) or equivalent will be awarded the Kilburn Entry Scholarship worth £1,000.

Well qualified international students will be considered for the Faculty of Engineering and Physical Sciences International Excellence Undergraduate Scholarships. For further details please see EPS International Excellence Undergraduate Scholarships .

Number of places/applicants: The School of Computer Science receives in the region of 2000 applications per year for 225 places across our undergraduate degree courses.

Contact email: ug-compsci@manchester.ac.uk

Contact telephone: 44 (0)161 275 6124

How to apply: Apply through UCAS .

Course description

One of the challenges in computing is to make computers demonstrate intelligent behaviour, so that they can solve new problems or cope with the unknown. Current achievements include image and voice recognition, and NASA's Mars Rovers. By combining the study of artificial intelligence and traditional computing techniques with an understanding from psychology of how humans learn, these degree programmes prepare you for a career applying computing in challenging applications.

Artificial intelligence related topics covered include techniques for representing and reasoning about knowledge, including approaches in machine learning in which general patterns are learned from examples. These programmes give you the opportunity to study these techniques, and their application in areas such as computer vision, games, natural language processing and the semantic web.

Detailed programme and course unit information is available here

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