11Jun
Virtual and digitalThis course is not open to application until the 13th May 2025.
Queen Mary University of London has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.
Open days
Course summary
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).
- 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.
Modules
Year 1 Exploring AI: Understanding and Applications Mathematical Principles for AI Coding Practices in AI Development Applied AI Collaborative Project
Assessment method
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.
How to apply
This course is not open to application until the 13th May 2025.
14Jan
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- I401
- Institution code:
- Q50
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - Not accepted
A level - AAB
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
Access to HE Diploma - Not accepted
International Baccalaureate Diploma Programme - 34 points
GCSE/National 4/National 5
English language requirements
ll applicants to Queen Mary must show they meet a minimum academic English language standard for admission and to be successful on the course. Please refer to the website below for details on our English Language requirements by course and acceptable alternative qualifications. You will also find important information regarding UKVI's English requirements if you are applying as an international student and will require a Student Visa to enter the UK.
Queen Mary University of London: English Language Requirements
Student Outcomes
Operated by the Office for Students
Employment after 15 months (Most common jobs)
Go onto work and study
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
| 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 .
Additional fee information
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.
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS