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

Robotics

Liverpool Hope University Β· Liverpool
Qualification
Degree
Length
3 yrs
UK fees / yr
Β£9,535
Study
full-time
Worth knowing: about 25% of students don't make it past first year here - ask the uni what support they offer.
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 is one of the most rapidly evolving fields in technology, bringing together mechanical engineering, electronic engineering, computer science and artificial intelligence to create physical systems that can sense, reason about and act in the world. Robots are transforming manufacturing, healthcare, logistics, agriculture, exploration and consumer technology, and the professionals who can design, programme and develop them are among the most sought-after in the engineering and technology labour market. The field is growing rapidly across almost every sector, and graduates with a serious robotics education are entering a discipline at an inflection point.

At Liverpool Hope University you will study for three years full-time, developing knowledge and practical skills across the core areas of robotics, including mechanical design, electronic systems, programming, control engineering, sensor integration and the artificial intelligence methods that allow robots to perceive and respond to their environment. The programme includes a sandwich year in professional practice and a year abroad, giving you extended industry experience and an international perspective on a technology sector that operates globally. Your placement year provides direct engineering experience in a real-world robotics or technology context, significantly strengthening your readiness for employment.

Robotics graduates work in manufacturing, healthcare technology, autonomous vehicles, logistics and warehousing automation, consumer robotics, aerospace, defence, agricultural technology and research. The core skills of robotics, mechanical and electronic engineering combined with software and AI, transfer across a wide range of engineering and technology roles. Many graduates also pursue postgraduate research in robotics, autonomous systems, artificial intelligence or related fields, contributing to a discipline where the pace of research and commercial development is exceptionally high.

The combination of physical and computational engineering skills makes robotics graduates genuinely versatile in the modern technology economy.

Could you get in?
The grades students arrived with
48-63 pts15%
64-79 pts10%
80-95 pts15%
112-127 pts25%
128-143 pts15%
144-159 pts15%
How they qualified
90% got in with A-levels. The rest came in a mix of ways:
A-levels90%
other higher education10%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
80%
In work or further study after
75%
Continue past first year
82%
Student satisfaction
What students say National Student Survey
82%
of students are satisfied with the course overall
Teaching86%
Assessment & feedback86%
Academic support58%
Well organised72%
Learning resources75%
Student community83%
In students' own words
β˜…β˜…β˜…β˜…β˜…
Highly recommend
The course has exceeded my expectations. 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€” good transpor…
Third year Β· Part-time
β˜…β˜…β˜…β˜…β˜†
Mixed but mostly good
There's a lot to love, but it's not without its flaws. 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€” the…
Final year Β· Full-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 Liverpool Hope 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.