University of Glasgow - Open Day
18 Jun 2026, 08:00
Glasgow

Robotics and robot systems have been, and remain, at the forefront of technological and industrial development. The development of artificial intelligence (AI) and machine learning techniques has enabled robots and robotic systems to evolve further and improve their operational performance and awareness. Both themes are at the core of this programme.
Why study this course at the University of Glasgow?
The James Watt School of Engineering has created a well-equipped Robotics Teaching Laboratory where most of the robotics project and practical teaching will take place. The combination of research-led teaching and well-equipped laboratory facilities will provide you with a valuable learning experience that will strengthen your knowledge development and help in your future career.
Career Prospects?
The robotics industry is wide and rapidly growing due to the large number of robotic systems and application areas. This has created a need for engineers with the required skills related to robot and robotic system design and development. In addition, graduates with knowledge of artificial intelligence and machine learning are become more sought after as more industries seek to introduce these techniques into their product lines, design and manufacturing processes.
Discover what it's like to study Robotics & Artificial Intelligence at University of Glasgow: insights on the course, making friends, personal statement tips, uni prep, and recommended books, podcasts, and videos.
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.
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The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
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