Artificial Intelligence is increasingly important to everyday activities including computer games, Web search, biometric systems, autonomous systems and many other areas of modern IT.
We are pioneering an integrative and broad-based study of intelligent systems, building on our internationally recognised research streams. Our undergraduate programmes are derived directly from the research carried out by our world-class research institutes. This includes learning from images and video, text and natural language processing, qualitative reasoning about space and time, and investigations into computational mechanisms in biological cells and organisms.
Typical opportunities include
• Final-year projects that apply artificial intelligence techniques to problems in areas such as healthcare and crime prevention
• Module coursework developing computer vision systems that will recognise and track objects
• Web-based natural language processing and computerised approaches to language translation
• Developing bio-inspired algorithms derived from biological systems and computational biology
• User-adaptive methods to tailor systems to individuals and groups
UCAS code: G700, this degree is also available as a 4 year MEng, BSc.
Industrial placements: Yes
Study abroad: Yes
Course duration: 3 years
Start date: September
Course fees: UK/EU: £9,000 International: £16,500
Information about living expenses and financial support can be found on the University's website.
Scholarships: Scholarships and bursaries worth up to £8,000 available.
The table below shows the modules that you will study if you commence your studies in September 2013. This information is taken from the University Programme Catalogue, which provides detailed module descriptions and is used by current students to select modules.
If you are looking to start your studies in September 2014 a list of modules is available in the 2014 brochure.
This is an indicative list and actual content may vary as we regularly review the content or our courses in light of new experiences and developments in the field.
|Mathematics for Computing|
|Networks and Scalable Architecture
|Information Management and Security|
|Graphical User Interfaces|
|Compulsory modules||Optional modules (choose two)|
|Computer Vision||Complexity and Approximation|
|Natural Language Processing||Computer Graphics|
|Biological and Bio-Inspired Computation||Distributed Systems|
|Knowledge Representation||Combinatorial Optimisation|
|Research Project||Parallel Scientific Computing|
|User Adaptive Intelligent Systems|
Graduates from the School of Computing have excellent job prospects. With the continuing application of computer technologies, rapid growth of hardware and software technologies, their allied industries, and widespread application, the demand for our graduates is set to continue for the foreseeable future.
We have close links with companies such as IBM, Accenture and Hewlett Packard, and employers ranging from small/medium enterprises to large multi-nationals consistently target our graduates.
Recent graduate destinations include: Barclays, BT Group – Openreach, CSC, EMIS, Ernst & Young, Fujitsu, Goodrich ISR Systems, Imagination Technologies, Microsoft and PepsiCo.
Our standard entry requirements are listed below. Lower offers can be made based on demonstrated interest and aptitude for the subject (typically AAB).
A-level: AAA including Mathematics
IT or Engineering Diploma: Grade A (plus A or above in A-level Mathematics).
BTEC Extended Diploma: Grade D*DD with 6 units of level 3 Mathematics
IB: 35 points overall, with 18 points at higher level to include 5 points in higher level Mathematics.
If you do not meet our entry criteria above you may be eligible for entry to Leeds via the Access to Leeds scheme, the Interdisciplinary Science Foundation Course or the International Foundation Year.
English language requirements: GCSE English Language grade C (or above) or an equivalent recognised English Language qualification.
All undergraduate applications should be made through the Universities and Colleges Admissions Services (UCAS).
If you require any further information please contact our admissions team, e: firstname.lastname@example.org t: +44 (0)113 343 5440.