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Computer Science and Artificial Intelligence Degree at Aberystwyth University

Computer Science and Artificial Intelligence Degree - 3 year Degree Scheme (GG4R)
Computer Science and Artificial Intelligence Degree - 4 year Degree Scheme (GG47)

Computer Science & Artificial Intelligence Degree

Artificial Intelligence (AI) explores artificial systems that can do things that are normally regarded as requiring intelligence. In recent years, AI techniques have become commonplace in industry, whether in the beautifully engineered Sony Aibo dog, or your washing machine. As a result, there is a strong demand for Computer Science graduates who have special training in Artificial Intelligence.

The Computer Science & Artificial Intelligence degree gives a firm foundation in computing skills which include:

• Programming
• Unix and Windows
• Software design
• Software engineering
• Professional issues in software engineering

It emphasises specialised skills in the following areas:

• Practical application of AI using the principles of computer science in various projects
• Appropriate tools to develop computer programs, particularly those with an AI component
• Theoretical understanding of AI
• Interaction with different but related techniques such as Vision, Intelligent Agents in games programming, Robotics and Mobile Computing

Types of final year projects recently completed by our students include:

• AI in Second Life
• Lingo-Language Learning with AI
• 2D world wide simulation.

Career Opportunities

This degree provides the appropriate skills for any typical job in the software industry. Its particular emphasis also gives you a head start when applying for jobs in areas like:

• Application areas requiring autonomy or artificial intelligence
• Medical and/or bioinformatics tasks that require a good background in computational intelligence
• Programming of softbot applications for commercial/business problems
• Design and implementation of intelligent controllers, such as those required in robotics
• Control and analysis of vision systems, vision capture, information extraction from an image.