Computer Science & Artificial Intelligence – University of Southampton

This accredited course is designed to give you industry experience alongside our research-led teaching.

We encourage you to take summer work placements in an industry of your choice or even add a full year in industry to help you gain the experience you need for accreditation.

All our computer science degree courses share the same compulsory modules in years 1 and 2, making it easy to switch between them. In the third and fourth years, you can tailor your degree by choosing optional modules.

Youll study the logical and mathematical theory underpinning computer science. Youll also gain an understanding of the fundamentals of computer hardware.

As an introduction to software engineering, youll cover data structures and algorithms. Youll also look at the principles of AI programming, including using an object-oriented approach and software engineering processes.

Youll apply your knowledge by working on practical projects. For example, youll build algorithms and data analysis tools, and develop software user interfaces.

Youll deepen your understanding of computer science by studying topics, such as artificial intelligence, communication protocols and the TCP/IP layered model.

A group project will give you first-hand experience of working in a team, and of the problems of communication and scale in software engineering.

An individual project is a chance to explore in depth an area of AI that interests you, under the supervision of an academic who is doing work in that area. Recent topics include:

Youll take a compulsory module in engineering management and law. Youll also specialise in artificial intelligence choosing options such as machine learning, simulation and advanced robotics.

You could also study a language, take modules from other disciplines such as psychology or chemistry, or choose from a range of innovative interdisciplinary modules.

Youll take part in a group design project. This involves working in a team for an industry or academic customer to solve a real-world problem. For example, previous students built an AI system for Ordnance Survey for a project entitled learning from aerial imagery.

Optional modules cover topics such as machine learning, computational finance and biologically inspired robots.

There is also an opportunity to study abroad for a semester.

Want more detail?See all the modules in the course.

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Computer Science & Artificial Intelligence - University of Southampton