University of Glasgow - Open Day
18 Jun 2026, 08:00
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This degree provides a comprehensive grounding in Artificial Intelligence and its core sub-disciples. The programme is designed to built both theoretical understanding and practical skills with multiple pathway options to tailor your experience.
Why study this course at University of Glasgow?
Our School of Computing Science is a hub for cutting-edge AI research, with active groups in machine learning, data science, and robotics. As a member of The Alan Turning Institute, it contributes to national-level innovation in AI.
This programme is a holistic and forward-thinking degree that blends deep theoretical knowledge with real-world application. There is strong focus on foundational mathematics, statistics, and core AI principles. The programme will empower you to innovate and lead transformative change in technology.
You will be encouraged to explore cross-disciplinary applications in health and finance, building a well-rounded skill set that is both adaptable and impactful.
Choosing Glasgow means joining a university that not only equips you with advanced AI expertise but also nurtures a mindset ready to tackle the societal and technological challenges of the future.
Career Prospects?
The School industry ties mean that you will be prepared to become a leader in the field whether in local and global tech companies, academia or entrepreneurial ventures.
The following entry points are available for this course:
Discover what it's like to study Artificial Intelligence (Faster Route) 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 that students who received offers were previously accepted on to this course 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.
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.
Please refer to the fees information listed on our website - https://www.gla.ac.uk/undergraduate/fees/
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