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

Robotic and Mechatronic Engineering

University of Sussex
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

Robotic and mechatronic engineering combines mechanical engineering, electronics, and computer science to design and build intelligent machines that can sense, process information, and act in the world. It is one of the most rapidly evolving areas of engineering, driving advances in manufacturing, healthcare, logistics, agriculture, defence, and space exploration. The discipline requires engineers who can think across traditional boundaries, integrating hardware and software, physical mechanisms and computational control, into coherent systems.

This four-year, full-time programme begins with a foundation year that gives you a thorough grounding in the underlying scientific and mathematical principles before you progress to the main degree content. Across the programme you will study mechatronics, control engineering, embedded systems, autonomous vehicles, and robotics, developing both theoretical understanding and strong practical skills through laboratory and project work. The foundation year is designed to ensure that wherever you are starting from academically, you have the preparation you need to succeed at degree level and beyond.

The programme builds the kind of systematic problem-solving ability and interdisciplinary thinking that engineering employers value highly. Graduates pursue careers in robotics design and development, automation and manufacturing engineering, autonomous systems research, embedded software engineering, and the aerospace and defence sectors. The growth of robotics in sectors such as healthcare, agri-tech, and consumer technology means demand for engineers with these skills continues to expand.

Many graduates also choose to pursue postgraduate research, contributing to the development of next-generation robotic and intelligent systems.

Could you get in?
The grades students arrived with
112-127 pts25%
128-143 pts25%
144-159 pts10%
160-175 pts5%
176-191 pts5%
208-223 pts5%
240+ pts5%
How they qualified
76% got in with A-levels. The rest came in a mix of ways:
A-levels76%
other higher education16%
the IB4%
Other4%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
75%
In work or further study after
90%
Continue past first year
87%
Student satisfaction
What graduates earn over time
Β£32,000
3 years on
Β£38,500
5 years on
What graduates actually go on to do % of leavers
Engineering professionalsHighly skilled60%
Elementary occupations15%
Design occupationsHighly skilled15%
Skilled trades occupations5%
Science, engineering and technology associate professionalsHighly skilled10%
Web and Multimedia Design ProfessionalsHighly skilled10%
Information Technology ProfessionalsHighly skilled5%
Sales occupations5%
What students say National Student Survey
87%
of students are satisfied with the course overall
Teaching86%
Assessment & feedback88%
Academic support76%
Well organised92%
Learning resources85%
Student community82%
In students' own words
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Would do it again
Coming here has changed how I think. The best part: the course strikes a good balance between theory and practical application. If I'm honest, the timetable has some awkward 9am / Friday afternoon slots. On the city β€” good transport links m…
Final year Β· Full-time
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A great decision
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, admin can be slow to respond, especially at start of term. On the city β€” local co…
Final 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 Sussex'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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