This accredited course is designed to give you industry experience alongside our research-led teaching.<\/p>\n
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.<\/p>\n
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.<\/p>\n
Youll study the logical and mathematical theory underpinning computer science. Youll also gain an understanding of the fundamentals of computer hardware.<\/p>\n
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.<\/p>\n
Youll apply your knowledge by working on practical projects. For example, youll build algorithms and data analysis tools, and develop software user interfaces.<\/p>\n
Youll deepen your understanding of computer science by studying topics, such as artificial intelligence, communication protocols and the TCP\/IP layered model.<\/p>\n
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.<\/p>\n
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:<\/p>\n
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.<\/p>\n
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.<\/p>\n
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.<\/p>\n
Optional modules cover topics such as machine learning, computational finance and biologically inspired robots.<\/p>\n
There is also an opportunity to study abroad for a semester.<\/p>\n
Want more detail?See all the modules in the course.<\/p>\n
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