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Computer Science (Artificial Intelligence)

Course details
  • 2 Study options
  • Undergraduate
Course location
Main Site

Course summary

Artificial intelligence (AI) is a rapidly growing field within computer science, and this course will give you the skills you need to excel within it. Topics will range from real-word applications of AI to understanding the theoretical underpinnings of the subject, to creating the innovative AI-driven tools that will drive Industry 4.0. You will also focus on the wider ethical and societal implications of AI.

  • Be inspired by the creativity that our practical, hands-on course nurtures Our ‘learning through doing’ ethos means you build the skills to make you desirable to employers. You’ll learn from dedicated teaching staff engaged in internationally significant research, actively creating and developing applications.

  • Collaborate and build Mirroring the teamwork at the heart of the industry, you’ll work in a team to develop work with a real purpose.

  • Get a head-start in the industry Benefit from a programme with strong links with industry, (e.g. Apple, Microsoft, IBM, Oracle and Intel) and those links are used to embed relevant real-world problems directly into the programmes.

  • Make use of cutting-edge facilities Students in engineering, science and the arts have access to a range of specialist equipment and innovative laboratories in our engineering and design facility. You'll also have access to specialist laboratories equipped with various hardware and software configurations.

How to apply

Application codes

Course code:
I400
Institution code:
P60

This course may be available at alternative locations, please check if other course options are available.

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Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

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