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

Robotics and Artificial Intelligence with Industrial Placement

The University of Hull
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 is one of the most exciting and consequential interdisciplinary fields in contemporary engineering and computer science. Robotics addresses the design, construction, and programming of physical systems that can sense, reason, and act in the world, while artificial intelligence provides the computational methods that allow systems to learn, adapt, and perform tasks that previously required human intelligence. Together they are transforming manufacturing, logistics, healthcare, agriculture, defence, and exploration, creating demand for professionals who understand both the physical and computational dimensions of autonomous systems.

At the University of Hull, this four-year programme includes an industrial placement, giving you substantial professional experience working in a robotics, AI, or related technology organisation alongside your academic studies. You will learn to programme and construct robotic systems, develop skills in machine learning, computer vision, sensor integration, and control systems, and engage with the ethical and social dimensions of deploying autonomous systems in real environments. Hull's robotics laboratory is equipped with a range of platforms including drones, mobile robots, and humanoid systems, giving you practical experience with diverse hardware as well as the software that drives it.

Graduates with expertise in robotics and AI are in high demand across manufacturing automation, autonomous vehicles, drone technology, healthcare robotics, warehouse logistics, defence, and academic research. The industrial placement gives graduates a significant advantage in a competitive graduate market. Further study at master's or PhD level in robotics, AI, mechatronics, or a specialist application domain is a well-established route for those who wish to pursue research or highly specialist technical roles.

Could you get in?
The grades students arrived with
<48 pts15%
48-63 pts5%
64-79 pts25%
80-95 pts10%
96-111 pts25%
112-127 pts15%
How they qualified
70% got in with A-levels. The rest came in a mix of ways:
A-levels70%
Other15%
other higher education10%
an Access course5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
88%
In work or further study after
90%
Continue past first year
85%
Student satisfaction
What graduates earn over time
Β£28,000
3 years on
Β£35,000
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled45%
Engineering professionalsHighly skilled50%
Administrative occupations5%
Sales occupations5%
Science, engineering and technology associate professionalsHighly skilled10%
Skilled trades occupations5%
Web and Multimedia Design ProfessionalsHighly skilled10%
Elementary occupations5%
What students say National Student Survey
85%
of students are satisfied with the course overall
Teaching86%
Assessment & feedback82%
Academic support69%
Well organised71%
Learning resources89%
Student community77%
In students' own words
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Would do it again
I've grown so much academically and personally here. The best part: the cohort are bright and motivated, which makes the learning environment great. If I'm honest, first-year classes can be quite large. On the city β€” good transport links ma…
Final year Β· Full-time
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Would do it again
The course has exceeded my expectations. The best part: coursework pushes you to actually build real systems, not just write essays. If I'm honest, first-year classes can be quite large. On the city β€” the city is a brilliant student city wi…
Postgraduate Β· Part-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 The University of Hull'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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