University course · real outcomes from HESA / Discover Uni · part of Careermash
University degree

Artificial Intelligence and Computer Science

Teesside University
Qualification
Degree
Length
4 yrs
UK fees / yr
£9,535
Study
full-time
Worth knowing: about 35% of students don't make it past first year here - ask the uni what support they offer.
Robin · your guide
Here's the honest picture on this course - what you'd study, whether you'd likely get in, what it pays, and where it leads. Everything's real data.
About this course

Artificial intelligence and computer science together represent the most dynamic frontier of contemporary technology. Computer science provides the foundational knowledge of computation, algorithms, data structures, and software systems on which all applied technology rests, while artificial intelligence extends those foundations into the design of systems that can reason, learn from data, perceive the world, and make decisions under uncertainty. Understanding both in depth prepares you to build intelligent systems rather than simply use them, and to engage critically with the implications of deploying those systems across society.

At Teesside University this four-year full-time programme includes a foundation year, which gives you the mathematical, computational, and study skills needed to succeed in the degree proper, making the course accessible to students who have strong aptitude but may not have the most conventional A-level background. Throughout the programme you will study the fundamental concepts of problem-solving, algorithms, and data structures, learning to think computationally and to design efficient solutions to complex problems. The AI strand introduces machine learning, neural networks, natural language processing, and computer vision, while the computer science component covers programming, software engineering, databases, and systems architecture.

A sandwich year and work placement are included, giving you a sustained period of professional experience in industry before you complete your degree, and allowing you to apply your learning in a real workplace environment.

Graduates are well prepared for careers across the technology sector and beyond, in roles such as machine learning engineer, data scientist, software developer, AI researcher, systems architect, and technology consultant. Organisations in every sector, from healthcare and finance to retail and government, are recruiting people who can design, evaluate, and deploy AI systems responsibly. Postgraduate study in artificial intelligence, machine learning, data science, or robotics provides a natural progression for those who wish to specialise or pursue research careers.

Could you get in?
The grades students arrived with
<48 pts4%
48-63 pts7%
64-79 pts8%
80-95 pts8%
96-111 pts7%
112-127 pts16%
128-143 pts6%
144-159 pts6%
160-175 pts15%
192-207 pts1%
208-223 pts1%
How they qualified
60% got in with other higher education. The rest came in a mix of ways:
other higher education60%
A-levels40%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
87%
In work or further study after
65%
Continue past first year
92%
Student satisfaction
What graduates earn over time
£21,000
3 years on
£26,500
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled24%
Sales occupations10%
Elementary occupations8%
Web and Multimedia Design ProfessionalsHighly skilled19%
Process, plant and machine operatives4%
Artistic, literary and media occupationsHighly skilled7%
Science, engineering and technology associate professionalsHighly skilled5%
Skilled trades occupations3%
What students say National Student Survey
92%
of students are satisfied with the course overall
Teaching92%
Assessment & feedback92%
Academic support91%
Well organised93%
Learning resources89%
Student community93%
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Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on Teesside University's own site.
Apply on uni site
Careermash · real course data from HESA / Discover Uni, in plain English.

Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

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