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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. Gain skills in real-world applications, AI theory, and creating tools for Industry 4.0, while exploring its ethical impact and engaging with top research.

Practical, hands-on learning
At Plymouth you will 'learn through doing', engaging in practical activities that give you room to expand your creativity and build skills highly valued by employers.

Be part of the team
You will participate in team-based projects that mirror industry practices, developing ideas, achieving solutions, applying your knowledge and enhancing your teamwork skills.

Strong industry links
Use Plymouth's strong links with leading companies such as Apple, Microsoft, IBM, Oracle, and Intel, to gain experience working to solve real-world problems as part of your studies, increasing your career potential.

This course is for you if...

  • you're fascinated by the potential of artificial intelligence and its real-world applications

  • you enjoy hands-on learning and developing new things

  • you aspire to work with industry leaders on real-world problems

  • you aim to build a career in the rapidly growing field of AI.

Professional bodies

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

  • BCS - The Chartered Institute for IT

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.

Course options

Open days

Entry requirements

Select a course option at the top of this page to view entry requirement information.

Historical entry grades data

This section shows the range of grades that students who received offers were previously accepted on to this course 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

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Fees and funding

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