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

Computing

Imperial College of Science, Technology and Medicine 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

Visual computing and robotics sits at an exceptionally productive intersection within computer science, combining the study of how computers process, generate and understand visual information with the engineering of autonomous systems that can sense, reason and act in physical environments. Visual computing encompasses computer graphics, image processing, computer vision and animation. Robotics draws on this alongside artificial intelligence, control theory, mechanical engineering and sensor technology to create systems that can operate independently in complex real-world settings.

Together, these fields are driving some of the most significant technological developments of the present decade, from autonomous vehicles and surgical robots to immersive virtual environments and visual inspection systems.

At Imperial College London, this four-year full-time programme is grounded in the principle that computing is a creative and wide-ranging subject, one that requires sound underlying principles and logical thinking to design and build systems that really work. You will develop rigorous foundations in mathematics, algorithms, data structures, programming, systems and theory, alongside specialist study in computer vision, graphics, machine learning, robotics, perception and autonomous systems. Imperial's exceptional research reputation in both computing and robotics means you learn in an environment where the boundaries of the field are being actively advanced.

Graduates of visual computing and robotics programmes are sought by technology companies working on autonomous systems, computer vision, gaming and interactive media, healthcare technology, manufacturing automation, space and defence. Career roles include computer vision engineer, robotics engineer, graphics programmer, machine learning engineer, research scientist and technical specialist. Imperial graduates are highly regarded by employers in competitive fields internationally.

Further study at master's or doctoral level in robotics, computer vision, machine learning or computer graphics is a natural progression for those drawn to research or advanced specialist careers.

Could you get in?
The grades students arrived with
160-175 pts6%
176-191 pts3%
192-207 pts3%
208-223 pts14%
224-239 pts29%
240+ pts11%
How they qualified
100% got in with A-levels.
A-levels100%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
98%
In work or further study after
98%
Continue past first year
89%
Student satisfaction
What graduates earn over time
Β£70,000
After 15 months
Β£64,000
3 years on
Β£83,500
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled90%
Business, Research and Administrative ProfessionalsHighly skilled5%
What students say National Student Survey
89%
of students are satisfied with the course overall
Teaching92%
Assessment & feedback82%
Academic support72%
Well organised91%
Learning resources86%
Student community94%
In students' own words
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Exceeded expectations
The programme genuinely lives up to its reputation. The best part: coursework pushes you to actually build real systems, not just write essays. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” the cit…
Class of 2024 Β· Part-time
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Would do it again
Honestly, one of the best decisions I've made. The best part: small-group tutorials really push your thinking. If I'm honest, a few modules feel under-resourced compared to the flagship ones. On the city β€” local cost of living is manageable…
Postgraduate Β· Full-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 Imperial College of Science, Technology and Medicine'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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