The UK Olympiad in Artificial Intelligence

The UK Olympiad in Artificial Intelligence

The UK Olympiad in Artificial Intelligence

The UK Olympiad in Artificial Intelligence (UKOAI) is a national competition for schools and colleges to select for the UK's International Al Olympiad team.

Register Interest for UKOAI 2027

OUR AIMS

Accelerate the development of AI skills and knowledge in British students

Accelerate the development of AI skills and knowledge in British students

Represent the UK in AI on the global stage

Represent the UK in AI on the global stage

Supported by

In partnership with

Congratulations to the 2027 UK Team!

Congratulations to the 2027 UK Team!

Congratulations to the 2027 UK Team!

The team (Anango Prabhat, Zane Kumar, Yijun Wang and Ahsan Saleem) came away with 2 gold and 2 bronze medals at the IOAI 2026 in Astana, Kazakhstan.

UKOAI 2027 Timeline - Dates Coming Soon

International Olympiad
in AI rounds

Register and prepare

The exam consists of three long-form questions that test programming and mathematical ability in deep learning.


We recommend looking at our resources below, and trying the sample papers on the IOAI website.


All secondary school students living in the UK are invited to take the free online national exam on Saturday 1st March 2025.


Students will be emailed the exam directly at 1pm UK and will have 3 hours to complete and submit it. Only a laptop or computer and an Internet connection is required.

Online UKOAI Test

All secondary school students living in the UK are invited to take the free online UKOAI exam.


Students will be emailed the exam directly and will have 3 hours to complete and submit it. Only a laptop or computer and an Internet connection is required. More info to follow.


All secondary school students living in the UK are invited to take the free online national exam on Saturday 1st March 2025.


Students will be emailed the exam directly at 1pm UK and will have 3 hours to complete and submit it. Only a laptop or computer and an Internet connection is required.

Interview Stage

Marking of the exam will take place immediately. High scorers of the exam shall be invited to a video interview with a UKOAI mentor in mid-March.


The interview will further test each student's problem-solving ability. Those that perform well will be invited to the training and selection camp.

Training Camp

An invite-only multi-day training and selection programme takes place in April or May. Students will have lectures in AI, practice papers, and do team building activities.


Four participants will be selected from this camp for the team to represent the UK at IOAI 2027.


IOAI First Round

The selected team will have extra training sessions in May and June in preparation for the IOAI. Each team member will be assigned a mentor from academia or industry.


The first round of the IOAI starts in June 2027 with an at-home task. All team members will be expected to work on this throughout June.

IOAI Main Contests

The IOAI takes place 4-10th July 2027 in Singapore.


There will be 2 contests: the first being a continuation of the at home task, and the second of unseen novel tasks.


During the week, there are also a number of social and cultural events that the team can attend.

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How to prepare for the UKOAI test

How to prepare for
the UKOAI test

Here are some resources that will be useful when preparing for the UKOAI exam. We expect people who do well in the exam to have some knowledge of the following areas.

THE UKOAI ORGANISING COMMITTEE

Umang Bhatt

Umang Bhatt

Umang is an Assistant Professor in Trustworthy Artificial Intelligence at the University of Cambridge and a Fellow and Director of Studies in Computer Science at King’s College, Cambridge, having previously held faculty and research roles at New York University and the Alan Turing Institute.

Euan Ong

Euan Ong

Euan is a Member of Technical Staff at Anthropic. He previously represented the UK at the International Olympiad in Informatics, placing 91st in the world.

James Hindmarch

James Hindmarch

James is currently working as a content developer for ARENA. He has a BA and MMath from University of Cambridge. Before this, he conducted research into improving the safety of AI systems.

Aaliya Manji

Aaliya Manji

Aaliya is a Forward Deployed Engineer at Prax and a Polaris Fellow. She has years of experience working in operational roles in EdTech.

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Sign Up Now!

Sign Up Now!

Registration closed for 2025

If you are a student, teacher or parent, register to sign up to take the test for 2027. For enquiries, please email aaliya@ukoai.org.

Sign Up for UKOAI 2027