MSc Artificial Intelligence

Overview

Computer games, Web searching, biometric systems and many other areas of modern IT are underpinned by Artificial Intelligence. In this course you will learn cutting edge technologies and techniques in key areas such as machine learning, knowledge discovery and bio-computation.

The course is derived directly from the research of the School's world-class research Institute of Artificial Intelligence and Biological Systems and covers both traditional AI techniques and state of the art methods. You will also benefit from learning our cutting-edge approaches to video analysis, corpus-based language studies, qualitative reasoning about space and time, and investigations into computational mechanisms in biological systems.

Duration: Full-time, 12 months
Start date: September
2012 course fees: UK/EU: £10,000; International: £16,200
Scholarships: £5,000 scholarships available
Course brochure: Download

Modules

The tables below show the modules that you will study if you commence your studies in September 2011. This information is taken from the University Programme Catalogue, which is a tool designed for current students to select modules. If you are looking to start your studies in September 2012 this is still a useful guide as it gives you an idea of what you might study.

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.

Entry requirements

A degree equivalent to a UK upper second class honours (2.1) degree or higher in computing or a related discipline with a significant computing component. You are expected to have programming competence, some prior systems development experience and knowledge of data structures and algorithms. Relevant work experience will also be taken into consideration.

English language requirement: A pass at GCSE level in English language (grade C or above). If English is not your first language, you are required to provide evidence of proficiency in English. You will need to meet our minimum requirements for one of the following recognised English language tests: the International English Language Testing Service (IELTS), the Test of English as a Foreign Language (TOEFL) and the Pearson Test of English Academic.

Career options

Applications of the course are wide-ranging: from commercial applications such as predicting market behaviours to developing computer games. Recent graduates from the School of Computing can be found in organisations such as Accenture, Logica, GE Consumer Finance, William Hill Plc, HBOS, ARM, Pierbridge CRM, LHASA, BTexact Technologies and Defence Science & Technology Laboratory UK amongst many others. You may also choose to continue your career within academia by pursuing a PhD at Leeds.

How to apply

The easiest and quickest way to apply for a masters course is to apply online. This way you can track your application at each stage of the process. However, if you prefer you can download an application form. Once complete, please return this, along with the correct documents to our Engineering Admissions Hub either via email or post: Engineering PGT Admissions Hub, Faculty of Engineering, University of Leeds, LS2 9JT, UK.

If you require any further information please contact the Postgraduate Admissions team, e: pgadmit@comp.leeds.ac.uk, t: +44 (0)113 343 5440.