Queen Mary University of London | Open Day | 12 June 2026
12 Jun 2026, 09:00
London
Artificial Intelligence is revolutionising industries worldwide, fueling demand for skilled professionals. In this ever-changing field, how can you ensure your skills keep you at the forefront of the AI revolution?
In this programme, you will study the fundamental mathematics, coding and deep learning skills that underpin AI software and its applications. From Year One, you will work on practical projects set by leading researchers and industry professionals in AI, all while building up a professional AI portfolio of work that will help boost your employability.
Programme Highlights
Learn the fundamental mathematics, coding and deep learning skills that underpin all AI software and applications
Work on practical projects set by leading researchers and industry professionals in AI
Learn from leading researchers in the AI field, including academics actively involved in the ATLAS Experiment at CERN, Belle 2 experiment in Japan, and industry experts who have held Head of AI roles, including at Cambridge Consultants
Benefit from our London location and close links with industry and take the opportunity to apply for internships with the South East Physics Network (SEPnet).
Module highlights include:
Coding Practices in AI Development – In this module, you will learn the tools of the trade for AI application and development.
Exploring AI and Understanding Applications – in this module, you will look into the big topics surrounding the use of AI today, including ethics, sustainability, equality, diversity and inclusion and more.
AI in the Real World – in this module, you will learn about the different industries that AI is used in, the real-world examples of what jobs people are doing, and how different techniques can be used in multiple sectors.
Entrepreneurship and Consultancy – in this module, you will have the opportunity to learn about pitching to business professionals and how AI consultancy works in practice.
Year 1
Exploring AI: Understanding and Applications
Mathematical Principles for AI
Coding Practices in AI Development
Applied AI Collaborative Project
Your modules will be assessed through a range of authentic coursework activities, including exams where appropriate. There is a strong emphasis on building up a portfolio of work to show potential employers. All students will work on a 60-credit project in their final year.
The following entry points are available for this course:
Queen Mary University of London: English Language Requirements https://www.qmul.ac.uk/international-students/englishlanguagerequirements/undergraduate-and-postgraduate-programmes/
Our standard contextual offer: Grades BBB including B in one of Maths, Computer Science or Physics at A-Level.
Our enhanced contextual offer: Grades BBC including B in one of Maths, Computer Science or Physics at A-Level.
Please note that General Studies and Critical Thinking are excluded from any A-Level offer and cannot be considered.
More information on our contextual offer criteria can be found on our contextualised admissions page below.
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.
| Location | Fee | Year |
|---|---|---|
| England | £9535* | Year 1 |
| Northern Ireland | £9535* | Year 1 |
| Scotland | £9535* | Year 1 |
| Wales | £9535* | Year 1 |
* This is a provisional fee and subject to change.
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 visit and search for your chosen course on our A-Z course finder at http://search.qmul.ac.uk/s/search.html?collection=queenmary-coursefinder-undergraduate&query=&sort=title - here you will find further details on fees and funding.
Please also visit our A-Z course finder to view the amount of fee you would need to pay if you are an International fee paying student.
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Email:admissions@qmul.ac.uk
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