Computer Science with Artificial Intelligence

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.

Projects

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

Ethics

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.

Course structure

These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.

Modules Year 1

Compulsory modules

• Databases 10 credits
• Computer Architecture 10 credits
• Computer Processors 10 credits
• Fundamental Mathematical Concepts 10 credits
• Introduction to Discrete Mathematics 10 credits
• Procedural Programming 10 credits
• Object Oriented Programming 10 credits
• Professional Computing 20 credits
• Programming Project 10 credits

Optional modules

• Programming for the Web 10 credits
• Introduction to Web Technologies 10 credits

Year 2

Compulsory modules

• Data Mining 10 credits
• Operating Systems 10 credits
• Networks 10 credits
• Formal Languages and Finite Automata 10 credits
• Numerical Computation 10 credits
• Artificial Intelligence 10 credits
• Algorithms and Data Structures I 10 credits
• Algorithms and Data Structures II 10 credits
• User Interfaces 10 credits
• Software Engineering Principles 10 credits
• Software Engineering Project 10 credits

Optional modules

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