Artificial intelligence is increasingly important to computer games, web search, biometric systems and many other areas of modern IT.
This course will allow you to gain fundamental skills such as programming, mathematics, network architectures and project management, while studying specialist artificial intelligence topics such as machine learning, image analysis, text analytics and their applications in areas from vision to automated reasoning.
Drawing on our internationally leading research and development in the School of Computing and the University's £4.3m National Facility for Innovative Robotics Systems, you'll also explore how artificial intelligence is being applied to important economic and societal issues in fields such as medicine, health, transport and smarter cities through case studies from ongoing research projects.
You'll apply your knowledge to project work in every year, giving you the skills and experience you'll need for your future career.
You can choose to take either the four-year Integrated Masters (MEng, BSc) or the three-year Bachelor's (BSc) degree on this course.
Find out more about the MEng, BSc and BSc
You'll have access to specialist facilities including well-equipped labs containing Linux and Microsoft platforms.
For final-year project work you'll also be able to make the most of our research facilities, such as a 53-megapixel powerwall display and dedicated 3D virtual reality suite, a new testbed for cloud computing and dedicated labs with high-spec, dual-display Linux workstations, iPad, Mac and Android development areas.
Our courses in Computer Science, and Computer Science with Artificial Intelligence share a common first year, which focuses on the fundamentals of programming and the mathematical principles that underpin computer science. This gives you the flexibility to switch easily between the three courses if you choose.
In Year 2 you'll build on this foundation to develop your knowledge of algorithms and operating systems among other key areas. You'll also gain learn more about the ideas and techniques involved in different approaches to artificial intelligence, the basics of knowledge representation and key aspects of data mining. You'll also choose from optional modules in areas such as mobile app development.
There are fewer compulsory modules in Year 3, when you'll learn more about robotics and parallel computing while choosing from a wide range of optional modules. You could focus on data science, web services, visualising information or user-adaptive intelligent systems, allowing you to gain a broad base of knowledge and build further specialist skills.
If you continue to Year 4 for the MEng qualification, you'll take masters-level modules in areas such as machine learning, image analysis and language processing to enhance your knowledge of the ways in which computer systems can process, represent and analyse different types of complex data.
You'll also have the chance to select optional modules from big data to cloud computing and semantic technologies, and take part in a substantial group project on a specific engineering problem that allows you to apply everything you've learned during the course.
Every year of the course gives you hands-on experience of project work. This gives you the opportunity to explore your subject further as well as developing valuable skills in problem solving, communication and teamwork.
Find out more about our Projects
You'll study computing ethics as part of your course. This is taught using real life case studies, with input from specialist ethicists as well as your tutors and lecturers. The team responsible for the ethics taught in computing has produced educational material used to stimulate debate in class about topics such as ethical hacking, open source software, and use of personal data.
Not only will this enhance your reasoning and decision making skills which are crucial to employers, but it will help you identify and respond effectively to ethical dilemmas that you will encounter in your professional life in the IT industry.
These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.
Entry requirements, fees and applying
A-level: AAA including mathematics or computing. Grade B or above in GCSE Mathematics is required if no Mathematics A-level is taken.
Where an A-Level Science subject is taken, we require a pass in the practical science element, alongside the achievement of the A-Level at the stated grade.
Excludes A-Level General Studies or Critical Thinking.
GCSE: English Language at grade C or above, or an appropriate English language qualification.
Intelligent systems range from domestic appliances and Internet search engines to robots exploring Mars. Our graduates find employment in the IT industry, ranging from start-ups to international organisations, and across a range of other sectors including computer games, technology, retail, finance, public authorities and consultancies. We have close links with companies such as IBM, Accenture and Hewlett Packard, and employers ranging from small/medium enterprises to large multi-nationals consistently target our graduates.
90% of our recent graduates have gone on to work or further study within six months of graduating. Recent graduate destinations include Barclays, BT Group - Openreach, CSC, EMIS, Ernst & Young, Fujitsu, Goodrich ISR Systems, Imagination Technologies, Microsoft and PepsiCo.
Read our alumni profiles to find out more about where our students are working
You'll have access to our dedicated Employability team, located centrally in our Employability Suite, who will provide you with specialist face-to-face support and advice to help you find relevant work experience, internships and year-in-industry placements, as well as graduate positions.
You'll benefit from timetabled employability sessions, ongoing support during internships and placements, and presentations and workshops delivered by employers. The team also works closely with the University's Careers Centre, which is one of the largest in the country.
Find out more about careers support and employability
Study abroad and work placements
On this course you have the opportunity to apply to spend time abroad, usually as an extra academic year. The University has partnerships with more than 400 universities worldwide and popular destinations for our students include Europe, the USA, Canada, Australia, New Zealand, Singapore, Hong Kong, South Africa and Latin America.
Find out more at the Study Abroad website.
With the help and support of our faculty Employability Team, you can choose to undertake an industrial placement year at one of the 100+ companies that we work with. If you decide to undertake a placement year this will extend your period of study by 12 months and, on successful completion, you will be awarded the 'industrial' variant in your degree title to demonstrate your added experience to future employers.
As a BEng student you have the option to undertake the placement between years 2 and 3. MEng, BEng students can choose to do this either between years 2 and 3 or years 3 and 4.
Find out more about work placements
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