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

Computing

The University of Buckingham
Qualification
Degree
Length
2 yrs
UK fees / yr
£9,535
Study
full-time
Worth knowing: about 22% 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 robotics sit at the forefront of one of the most significant technological transformations in recent history. AI refers to the development of algorithms and systems that can perform tasks traditionally associated with human intelligence, including reasoning, learning, perception, and decision-making. Robotics combines AI with mechanical and electronic engineering to create autonomous systems capable of operating in physical environments, from factory floors and surgical theatres to exploration vehicles and domestic assistance.

At the University of Buckingham, this two-year full-time accelerated degree in Computing with a focus on Artificial Intelligence and Robotics allows you to develop professional and technical skills in these areas in a compressed timeframe. You will study the algorithms and computational principles that drive AI and robotics systems, alongside the practical skills needed to design, implement, and evaluate such systems. The programme is particularly relevant for students who are motivated and focused, and who want to develop market-ready technical capabilities efficiently without sacrificing depth.

Knowledge and understanding in AI and robotics are increasingly sought after across many sectors of the economy, from healthcare and manufacturing to finance and transportation.

Graduates are well placed for careers in software engineering, machine learning, AI research and development, robotics engineering, and systems design across a wide range of industries. The two-year format means you enter the job market sooner, which is an advantage in a fast-moving field where early professional experience is highly valued. Many graduates also pursue postgraduate study in artificial intelligence, robotics, computer science, or a related field to develop deeper technical expertise or move into research roles.

The combination of algorithmic understanding and practical implementation skills makes graduates adaptable in a sector that continues to evolve rapidly.

Could you get in?
The grades students arrived with
<48 pts15%
48-63 pts10%
64-79 pts10%
80-95 pts5%
96-111 pts20%
112-127 pts25%
How they qualified
60% got in with A-levels. The rest came in a mix of ways:
A-levels60%
no formal qualifications20%
other higher education15%
another degree5%
a foundation year5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
75%
In work or further study after
78%
Continue past first year
92%
Student satisfaction
What graduates actually go on to do % of leavers
Elementary occupations5%
Information Technology ProfessionalsHighly skilled60%
Business, Research and Administrative ProfessionalsHighly skilled15%
Science, engineering and technology associate professionalsHighly skilled10%
What students say National Student Survey
92%
of students are satisfied with the course overall
Teaching99%
Assessment & feedback94%
Academic support85%
Well organised88%
Learning resources82%
Student community89%
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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 The University of Buckingham'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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