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

Robotics and Artificial Intelligence

University College London Β· London
Qualification
Degree
Length
4 yrs
UK fees / yr
Β£9,535
Study
full-time
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

Robotics and artificial intelligence represents one of the most exciting and consequential fields in contemporary science and engineering. Robotics is concerned with designing, building, and programming physical systems that can sense, reason, and act in the world, whether in manufacturing, healthcare, exploration, logistics, or everyday life. Artificial intelligence provides the computational methods that allow machines to learn from data, recognise patterns, make decisions, and increasingly to interact with humans and their environments in sophisticated and useful ways.

Together, these disciplines are reshaping industry, medicine, and science at remarkable speed, and the demand for people who understand both deeply is growing across almost every sector of the economy.

At University College London, this four-year full-time programme is one of the most demanding and prestigious in the field in the UK. UCL has world-class research strengths in both robotics and AI, and students study in an environment where many of the academics teaching them are at the forefront of the discipline. You will develop rigorous foundations in mathematics, programming, machine learning, computer vision, control theory, robotic systems design, and the principles of intelligent autonomous agents.

The four-year structure allows for depth and specialisation that a three-year degree cannot match, and you will engage with research-level work in the later stages of the programme, developing the skills to contribute to the ongoing development of the field.

Graduates from Robotics and Artificial Intelligence at UCL are among the most sought-after in the technology sector. Career destinations include roles as machine learning engineers, robotics engineers, AI researchers, software engineers in AI-intensive industries, and technical leads in technology companies, research laboratories, aerospace, automotive, healthcare technology, and defence. Many graduates pursue postgraduate research, contributing to the academic and industrial research that continues to advance the capabilities of intelligent systems.

This is a degree for people with strong mathematical ability and a genuine passion for building systems that can think and act in the world.

Could you get in?
The grades students arrived with
48-63 pts2%
80-95 pts2%
112-127 pts1%
128-143 pts2%
144-159 pts6%
160-175 pts16%
176-191 pts7%
192-207 pts8%
208-223 pts19%
224-239 pts12%
240+ pts19%
How they qualified
81% got in with A-levels. The rest came in a mix of ways:
A-levels81%
the IB10%
another degree3%
Other3%
other higher education2%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
90%
In work or further study after
93%
Continue past first year
83%
Student satisfaction
What graduates earn over time
Β£51,000
3 years on
Β£71,000
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled85%
Managers, directors and senior officialsHighly skilled5%
What students say National Student Survey
83%
of students are satisfied with the course overall
Teaching82%
Assessment & feedback74%
Academic support60%
Well organised76%
Learning resources84%
Student community91%
In students' own words
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Genuinely worthwhile
Coming here has changed how I think. The best part: small-group tutorials really push your thinking. If I'm honest, accommodation allocation was stressful in the first year. On the city β€” good transport links make it easy to visit other UK …
Third year Β· Full-time
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Highly recommend
I've grown so much academically and personally here. The best part: the course strikes a good balance between theory and practical application. If I'm honest, a few modules feel under-resourced compared to the flagship ones. On the city β€” l…
Third year Β· Part-time
More courses like this
Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on University College London'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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