BSc (Hons) Computer Science (Artificial Intelligence)

Key information

Why choose this course?

  • Choose this course with an emphasis on artificial intelligence and robotics building on a base of mainstream computer ccience, or change to one of the others in our flexible programme.
  • Be taught by highly qualified staff, most with a PhD or other advanced degree plus research, teaching, or professional experience. 
  • Be part of a highly regarded well established computer science department with excellent facilities, a strong research background, and links to business and industry.
  • Prepare yourself for a career in the IT sector through a mix of academic, professional and practical study, with opportunities for industry certifications and a paid placement year. Previous students have worked placements at companies including Intel, IBM, and BT​.
  • Recent graduates from Computer Science have gone on to work at amazing organisations including BAE Systems, NHS, and EE.

What's the course about?

Artificial intelligence (AI) is a discipline in which computers and other devices are designed and developed to display intelligent characteristics. This course adds a specialism in AI to a broad base in technology and software development. Particularly in the first two years, you’ll find an emphasis on software development, professional programming, the modelling and design of systems and data, the principles of networking and the user experience. These give you the core skills to specialise in AI, where you can study the analysis, design and construction of knowledge-based and expert systems, artificial life and robotics, and systems based around the use of neural networks.

Your main campus is College Lane   

This is where the creative arts, science and health-related subjects are based. This means you’ll share the campus with future nurses, scientists, artists and more. You can use the common rooms to relax with friends, work out in the 24-hour gym or have a drink in our on-campus pub or cafes. We also have restaurants for you to eat in or grab something on the go. Our Learning Resources Centres are open 24/7, which means you can study whenever suits you best. Want to pop over to the other campus? You can take the free shuttle bus or walk there in just 15 minutes.  

What will I study?

Computer science is both an academic and a practical subject so you will be taught in different ways such as lectures, smaller group tutorials, supervised practicals (labs) and self-study including experiential learning. Assessment is by a mix of in-class tests, exams, and coursework.

Throughout your course, you'll have access to well equipped laboratory facilities, with PCs running Windows 7 and/or Linux and a whole range of industry-standard and educational software from Microsoft, Oracle, Adobe, and others. There are specialist labs for networking, multimedia, devices, robotics, and projects.

In addition to scheduled classes, about 16 hours per week in Year 1, you will be expected to spend the same amount of time in self-study taking advantage of the University's extensive and up-to-date facilities. These include the Learning Resource Centres (LRCs), open 24x7, with over 1,200 computer workstations and wifi access, Studynet our versatile online study environment accessible on and off campus, and open access to our labs.

Most of our students own their own PC or Mac, but this is not essential since you can use the university facilities instead or as well.

What you will learn

You will study the analysis, design and construction of knowledge-based and expert systems, Artificial Life and robotics, as well as systems based around the use of neural networks. This course draws on the expertise of the School’s internationally acclaimed AI research staff. In your first two years you will concentrate on building a broad integrated foundation, with your specialism in AI building on this foundation.

First Year

You will learn the foundations of the subject including topics such as an overview of the field, programming, modelling, and computing platforms.

Second Year

You will deepen your understanding and develop more advanced skills. There are technical modules on software development, programming, databases, operating systems and networks, plus two options in AI and robotics.

Third year

You have the option of taking a one-year paid work placement, or you can study abroad at one of our partner universities worldwide.

Final Year (3rd or 4th)

You will be offered core modules on computer security and project planning, specialist modules in Constructive AI and Robotics, plus two options, which can also be in other aspects of AI. Finally you will undertake an individual project in your chosen specialism, typically an extensive piece of practical work.