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

Artificial Intelligence and Robotics

University of Bedfordshire
Qualification
Degree
Length
4 yrs
UK fees / yr
Β£9,535
Study
full-time
Worth knowing: about 25% of students don't make it past first year here - ask the uni what support they offer.
Robin Β· 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 are two of the most consequential technologies of the present and near future. AI provides the intelligence, the ability to perceive, learn, reason, and decide, while robotics provides the physical embodiment, the systems that can act in the world. Together they are reshaping manufacturing, logistics, healthcare, agriculture, defence, and the exploration of environments that are too dangerous or distant for human beings to operate in directly.

Understanding how these systems are designed, built, and controlled is a genuinely valuable form of knowledge, and this programme at Bedfordshire equips you with exactly that.

You will study the core principles of artificial intelligence, including machine learning, computer vision, and intelligent decision-making, alongside the engineering foundations of robotics, including control systems, sensors, actuators, and the mechanics of robotic systems. A foundation year provides additional preparation for students who need to build their scientific and mathematical grounding before the degree proper begins. The programme develops both theoretical understanding and practical skills, giving you experience with the tools and systems used in real AI and robotics development.

Graduates are well placed for careers in a rapidly growing set of industries. Roles in robotics engineering, AI development, automation systems, embedded systems, and research and development in technology and manufacturing companies are natural destinations. The combination of AI and robotics knowledge is also valued in healthcare technology, where medical robotics and intelligent diagnostic tools are expanding rapidly, and in defence and security.

Many graduates continue to postgraduate study in robotics, artificial intelligence, or related engineering disciplines, and some pursue doctoral research in areas at the frontier of the field.

Could you get in?
The grades students arrived with
48-63 pts10%
64-79 pts25%
96-111 pts10%
112-127 pts10%
160-175 pts10%
How they qualified
70% got in with A-levels. The rest came in a mix of ways:
A-levels70%
no formal qualifications30%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
80%
In work or further study after
75%
Continue past first year
86%
Student satisfaction
What graduates actually go on to do % of leavers
Skilled trades occupations15%
Engineering professionalsHighly skilled35%
Managers, directors and senior officialsHighly skilled15%
Process, plant and machine operatives15%
Science, engineering and technology associate professionalsHighly skilled10%
What students say National Student Survey
86%
of students are satisfied with the course overall
Teaching87%
Assessment & feedback80%
Academic support85%
Well organised85%
Learning resources88%
Student community69%
In students' own words
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Genuinely worthwhile
Coming here has changed how I think. The best part: the career fair connections with top tech employers are genuinely valuable. If I'm honest, accommodation allocation was stressful in the first year. On the city β€” the city is a brilliant s…
Final year Β· Full-time
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Exceeded expectations
I was sceptical before starting β€” now I'd recommend it to anyone. The best part: coursework pushes you to actually build real systems, not just write essays. If I'm honest, would like to see more industry guest speakers in later years. On t…
Third year Β· Full-time
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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 University of Bedfordshire's own site.
Apply on uni site
Careermash Β· 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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