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.

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.

A pass at GCSE level in English Language (grade C or above). International students must have an English language qualification at a suitable level, for example IELTS 6.0 or equivalent.

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.

To find out more about this course, click here.