Open Event: Introduction to Undergraduate Study at Chelsea
12 Jun 2026, 10:30
London
Data Science and AI is a rapidly expanding, applied discipline that is shaping the world around us and a significantly growing area of employment. Data science is also the foundation of the technology that underpins modern approaches to functional AI based products and services.
The BSc Data Science and AI programme offers a deep engagement with data science and AI competencies, as well as a critical perspective on ethical data and AI practices. This includes statistical theory, mathematics, data structures, computational approaches, machine learning and software engineering.
Delivered by the UAL Creative Computing Institute, you will benefit from an innovative curriculum that approaches data science and AI through a creative lens.
What to expect
Coding for data science: you will learn practical coding skills in core modern programming languages for data science industries and applications.
Project-based learning: you will complete a range of computing projects where you will apply skills and knowledge to real world problems.
Ethical data practices: you will learn how data practices have the potential to impact individuals and society.
Collaboration and creativity: you will learn how to collaborate with your peers to creatively solve problems together. This ability is a core attribute valued by graduate employers.
The CCI community: you will join a significant community of students, academics and researchers who are passionate about the future of data and computing. You will have access to our integrated online community.
Industry experience and opportunities
You will learn using industry standard tools and frameworks ensuring you are ready to progress to a wide range of roles across the technology sector. You will benefit from industry talks and will meet industry representatives throughout your studies.
Furthermore, you have the opportunity to undertake the optional year in industry details of which will be provided in the second year of study.
The following entry points are available for this course:
Discover what it's like to study Data Science and AI at University of the Arts London: insights on the course, making friends, personal statement tips, uni prep, and recommended books, podcasts, and videos.
104 tariff points from full level 3 qualifications.
BCC at A-level.
MMM in the BTEC National Extended Diploma
104 tariff points from the Access to HE Diploma.
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.
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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.
The Home fee is correct for entry in autumn 2025 and may increase for entry in autumn 2026. Please note that this fee is subject to the passing of secondary legislation approving a fee cap of £9,535. In the event this is not passed the tuition fee would be £9,250. Please check the fees and funding section of your course page on our website for more information: www.arts.ac.uk/courses. Tuition fees may increase in future years for new and continuing students.
The International fee is correct for entry in autumn 2025 and is subject to change for entry in autumn 2026. Tuition fees for international students may increase by up to 5% in each future year of the course.
At University of the Arts London