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

Robotics and Automation

Leeds Beckett University Β· Leeds
Qualification
Degree
Length
-
UK fees / yr
Β£9,535
Study
part-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 automation is a discipline at the cutting edge of engineering and technology, concerned with the design, programming, and deployment of machines that can perform tasks autonomously or semi-autonomously. Robots are transforming the world, exploring space, powering global manufacturing, and changing how we live and work. Robotics draws on mechanical engineering, electronics, computer science, and artificial intelligence, combining these disciplines to create systems that can sense their environment, make decisions, and act in the physical world.

At Leeds Beckett University, this part-time degree is accredited by the Institution of Engineering and Technology and develops your skills in designing, building, and programming intelligent machines. You will study mechanical and electrical systems alongside control theory, software engineering, computer vision, and the application of artificial intelligence to robotic systems. The programme includes a sandwich year with a year abroad and work placement, giving you direct professional experience in a robotics or automation engineering environment and international exposure to how the field is developing in different industrial contexts.

Robotics and automation graduates are in growing demand across manufacturing, logistics, healthcare, agriculture, defence, and the technology industry. The combination of mechanical, electronic, and software skills the degree develops is distinctive and highly valued in a sector that is expanding rapidly as automation technology advances. Many graduates also continue to postgraduate study or specialisation in areas such as autonomous systems, machine learning for robotics, or manufacturing systems engineering.

Could you get in?
The grades students arrived with
No past-entry data for this course.
How they qualified
90% got in with other higher education. The rest came in a mix of ways:
other higher education90%
another degree10%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
90%
In work or further study after
100%
Continue past first year
85%
Student satisfaction
What graduates earn over time
Β£45,000
After 15 months
Β£37,000
3 years on
Β£43,000
5 years on
What graduates actually go on to do % of leavers
Engineering professionalsHighly skilled55%
Managers, directors and senior officialsHighly skilled20%
Business and public service associate professionalsHighly skilled20%
Architects, Chartered Architectural Technologists, Planning Officers, Surveyors and Construction ProfessionalsHighly skilled10%
What students say National Student Survey
85%
of students are satisfied with the course overall
Teaching89%
Assessment & feedback85%
Academic support78%
Well organised82%
Learning resources89%
Student community77%
In students' own words
β˜…β˜…β˜…β˜…β˜…
Genuinely worthwhile
This is the perfect place to study this subject. The best part: the opportunity to do independent research in the final year is a highlight. If I'm honest, the timetable has some awkward 9am / Friday afternoon slots. On the city β€” good tran…
Final year Β· Full-time
β˜…β˜…β˜…β˜…β˜…
Would do it again
I was sceptical before starting β€” now I'd recommend it to anyone. 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€” good transport …
Class of 2022 Β· Part-time
Similar courses that cost less same subject, lower fees
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 Leeds Beckett University'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.

Β© 2026 Careermash. A concept for secondary schools.