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

Robotics with Foundation Year

University of Plymouth
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 is a discipline that brings together mechanical engineering, electronic engineering, computer science, and artificial intelligence to design and build physical systems that can perceive their environment and act within it autonomously or semi-autonomously. From industrial automation and precision manufacturing through to surgical robots, autonomous vehicles, and assistive devices for people with disabilities, robots are transforming virtually every sector of the economy and opening new possibilities for human capability. This four-year full-time degree at the University of Plymouth includes a foundation year entry route, making it accessible to students who need to build their mathematical and scientific foundations before entering the main programme.

You will develop expertise across the disciplines that robotics draws on, including programming, sensor systems, actuators, control theory, machine learning, and the integration of hardware and software into functional autonomous systems. The programme engages with both the theoretical foundations and the practical engineering challenges of robotics, developing your ability to design, build, and evaluate robotic systems for real-world applications. You will learn to program in languages including Python and to apply computational skills to problems in robotics, gaining the quantitative and practical competencies that professional robotics engineers need.

A typical entry tariff of 72 UCAS points reflects an exceptionally inclusive admissions approach, with the foundation year ensuring that students from a wide range of prior academic backgrounds can access this technically demanding discipline. Graduates from robotics programmes move into careers in robotics engineering, automation and manufacturing, artificial intelligence, autonomous vehicles, medical device engineering, defence and aerospace, and a wide range of other technology sectors where autonomous systems are in growing demand. Many continue to postgraduate research in robotics, AI, or engineering.

Could you get in?
The grades students arrived with
<48 pts5%
48-63 pts35%
64-79 pts25%
80-95 pts10%
96-111 pts5%
112-127 pts5%
144-159 pts10%
160-175 pts5%
How they qualified
95% got in with A-levels. The rest came in a mix of ways:
A-levels95%
other higher education5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
75%
In work or further study after
85%
Continue past first year
84%
Student satisfaction
What graduates earn over time
Β£30,500
3 years on
Β£36,500
5 years on
What graduates actually go on to do % of leavers
Skilled trades occupations10%
Engineering professionalsHighly skilled65%
Information Technology ProfessionalsHighly skilled25%
What students say National Student Survey
84%
of students are satisfied with the course overall
Teaching93%
Assessment & feedback87%
Academic support70%
Well organised85%
Learning resources79%
Student community91%
In students' own words
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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, some seminar groups were too big for meaningful discussion. On the city β€” local cost of livin…
Third year Β· Full-time
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Worth it overall
There's a lot to love, but it's not without its flaws. The best part: the cohort are bright and motivated, which makes the learning environment great. If I'm honest, would like to see more industry guest speakers in later years. On the city…
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 Plymouth'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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