Course contact details
Undergraduate Admissions Office
Phone:020 7040 8716
City St George's, University of London
Northampton Square
City of London
EC1V 0HB
Artificial Intelligence is transforming every sector, from healthcare and finance to autonomous systems and intelligent data analysis. This degree combines strong foundations in mathematics, statistics, programming and software engineering with specialist study of machine learning, deep learning, computer vision, natural language processing, agentic AI and multi-agent systems.
You will learn through lectures, tutorials, supervised laboratory sessions, group projects and practical coursework, applying AI techniques to real-world challenges throughout your studies. Teaching is informed by the University's AI research expertise, ensuring you gain experience of current methods and technologies used across industry and research.
A key feature of this route is the opportunity to spend a year in industry, gaining valuable professional experience and developing your technical and professional skills in a real-world environment. The degree culminates in a substantial individual AI project, helping you graduate with a strong portfolio and the expertise needed for careers in the rapidly growing AI sector.
The following entry points are available for this course:
International students are welcome and form an important part of our diverse learning community. If English is not your first language, you will need to meet the University’s English language requirements. Please visit our international student pages for information on entry requirements, visas, fees, scholarships and support services.
Discover what it's like to study Artificial Intelligence (with Placement) at City St George's, University of London: insights on the course, making friends, personal statement tips, uni prep, and recommended books, podcasts, and videos.
A-level:
ABB (Computer Science or Maths or other science preferred)
A-level:
ABB (Computer Science or Maths or other science preferred)
BTEC:
DDM (Computing or Information Technology only)
Applicants should have achieved a Distinction in the units “Fundamentals of Computer Science” and “Software Design and Development” Information Technology applicants should have achieved a Distinction in the units “Programming” and "IT service delivery"
We welcome applications from students studying the Access to HE Diploma. Below provides our grade and pathway requirements, though all applications are considered holistically including work experience.
Pass in a QAA recognised Access to HE Diploma. Full award (60 credits) of which a minimum of 45 credits must be at Level 3 including 30 credits at Distinction and 15 credits at Merit.
Accepted pathways: Computing, Computer Science, Computer Game Design and Development, Computer Science and Maths, Digital Software Development.
31 points including 5 in Mathematics at Higher or Standard Level and minimum of grade 5 in Standard Level English
A minimum of grade 6 (B) in Mathematics and grade 4 (C) in English Language or English Literature in addition to other outlined requirements.
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.
This report uses your grades to show how students with similar results have done when applying to this course in the past. Sometimes, there isn’t data for every possible set of grades. When that happens, universities and colleges occasionally fill in the gaps for sets of grades that are typically accepted.
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.
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Phone:020 7040 8716
Northampton Square
City of London
EC1V 0HB
At City St George's, University of London