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Artificial Intelligence and Computer Science

Course details
  • 2 Study options
  • Undergraduate
Course location
Teesside University Middlesbrough Campus

Course summary

Course overview: From Amazon’s Alexa to self-driving cars, artificial intelligence (AI) is rapidly impacting all areas of business and society. You develop knowledge and skills in artificial intelligence, opening the door to a range of careers across all sectors.

You explore state-of-the-art technologies including intelligent systems, machine learning, agent-based modelling, intelligent support systems, planning and logistics, virtual agents, and hybrid algorithm design.

Top reasons to study this course

  1. Industry links: work on live industry briefs, competitions and hackathons with companies including Cisco, Cubic Transportation Systems, Sage, TUI, Atombank, HMRC and Waterstons.
  2. British Computer Society (BCS) academic membership: get free BCS membership to accelerate your career path with CV builder tools, e-learning courses, mentorships programmes, jobs boards and volunteering opportunities.
  3. Career-ready: our ExpoSeries of events allow you to showcase your skills to industry professionals who are seeking to recruit new and rising talent.

After the course: A wide range of opportunities are open to computer scientists with artificial intelligence including software analysts and developers, computer scientists and computer engineers, AI architects, machine learning engineers. Industry demand for individuals with these skill sets is increasing at a significant rate. As an Artificial Intelligence graduate you will be well placed to pursue a technical career in a wide range of industries.

How to apply

Application codes

Course code:
I402
Institution code:
T20

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

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Entry requirements

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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.

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Fees and funding

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