Applied Artificial Intelligence
Source: https://www.qmul.ac.uk/undergraduate/coursefinder/courses/2026/applied-artificial-intelligence/ Parent: https://www.qmul.ac.uk/undergraduate/coursefinder/courses/2026/
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- Make note of the Queen Mary institution code: Q50
- Make note of your chosen course UCAS code:
#### Applied Artificial Intelligence
- I401 — BSc (Hons)
- IFX0 — BSc (Hons) with Foundation
- Click on the link below:
Have further questions? How to apply | Entry requirements
Applied Artificial Intelligence
Entry Year: 2026
2 study options
Applied Artificial Intelligence BSc (Hons)
Key information
Degree : BSc (Hons)
Duration : 3 years
Start : September 2026
UCAS code : I401
Institution code : Q50
Typical A-Level offer : Grades AAB at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics.\ Full entry requirements (including contextual admissions)
Home fees : £9,535
Overseas fees
: £32,950\
[Funding information](#funding)\
[Paying your fees](https://www.qmul.ac.uk/undergraduate/feesandfunding/payment/)
Applied Artificial Intelligence with Foundation BSc (Hons)
Key information
Degree : BSc (Hons)
Duration : 4 years
Start : September 2026
UCAS code : IFX0
Institution code : Q50
Entry Requirements : Full entry requirements (including contextual admissions)
Home fees : £9,535
Overseas fees
: £25,500\
[Funding information](#funding)\
[Paying your fees](https://www.qmul.ac.uk/undergraduate/feesandfunding/payment/)
Applied Artificial Intelligence
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Overview
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.
Structure
In years one and two you will take four 30-credit modules. In the third and final year, you will undertake a 60-credit Applied AI in Industry Project, in addition to one 30-credit module and two 15-credit modules.
Year 1
- Exploring AI: Understanding and Applications
- Mathematical Principles for AI
- Coding Practices in AI Development
- Applied AI Collaborative Project
Please note that all modules are subject to change.
Year 2
- Tools and Applications of Generative AI
- Machine Learning
- AI in the Real World
- Disciplinary AI project
Please note that all modules are subject to change.
Year 3
- Entrepreneurship and Consultancy
- Analysis of Social Media
- Analysing Language Datasets
- Applied AI in industry Project
Please note that all modules are subject to change.
Teaching
Teaching and learning
You’ll learn through large group interactive sessions, and also in exercise classes where students work together on problems, discuss ideas and ask questions. Some modules have a practical element including working on real-world scenarios.
Formal teaching time typically takes up 16 hours each week. You’ll also be expected to complete additional hours of independent study.
Current external speakers and partners on the programme include DataBricks and the UK Home Office.
Assessment
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.
Resources and facilities
The School offers excellent on-campus resources to aid your studies, including:
- teaching laboratories
- a rooftop observatory
- dedicated study spaces for students
- professional research facilities for use in final-year projects.
Entry requirements
Applied Artificial Intelligence - BSc (Hons)
| A-Level | Grades AAB at A-Level. This must include one of A-Level Mathematics, Computer Science, or Physics. |
| IB | International Baccalaureate Diploma with a minimum of 34 points overall, including 6,6,5 from three Higher Level subjects. This must include either Mathematics, Computer Science, or Physics at Higher Level. We will consider either Mathematics: Applications and Interpretation or Mathematics: Analysis and approaches at Higher Level. |
| BTEC | See our detailed subject and grade requirements |
| Access HE | Access qualifications are not considered for entry to this programme. |
| GCSE | Minimum five GCSE passes including English and Maths at grade C or 4. |
| EPQ | Alternative offers may be made to applicants taking the Extended Project Qualification. For further information please visit: qmul.ac.uk/undergraduate/entry/epq |
| Contextualised admissions | Our standard contextual offer: BBB including one of Mathematics, Physics, or Computer Science at A-Level. Our enhanced contextual offer: BBC including one of Mathematics, Physics, or Computer Science at A-Level. More information on our contextual offer criteria can be found on our contextualised admissions page. Please note that General Studies and Critical Thinking are excluded from any A-Level offer and cannot be considered. |
Applied Artificial Intelligence with Foundation - BSc (Hons)
Non-UK students
We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications. Please visit International Admissions for full details.
English language
Find out more about our English language entry requirements, including the types of test we accept and the scores needed for entry to the programme.
You may also be able to meet the English language requirement for your programme by joining a summer pre-sessional programme before starting your degree.
Further information
See our general undergraduate entry requirements.
Funding
Loans and grants
UK students accepted onto this course are eligible to apply for tuition fee and maintenance loans from Student Finance England or other government bodies.
Scholarships and bursaries
Queen Mary offers a generous package of scholarships and bursaries, which currently benefits around 50 per cent of our undergraduates.
Scholarships are available for home, EU and international students. Specific funding is also available for students from the local area. International students may be eligible for a fee reduction. We offer means-tested funding, as well as subject-specific funding for many degrees.
Find out what scholarships and bursaries are available to you.
Support from Queen Mary
We offer specialist support on all financial and welfare issues through our Advice and Counselling Service, which you can access as soon as you have applied for a place at Queen Mary.
Take a look at our Student Advice Guides which cover ways to finance your degree, including:
- additional sources of funding
- planning your budget and cutting costs
- part-time and vacation work
- money for lone parents.
Careers
Graduates of the Applied AI programme can pursue careers across industries where artificial intelligence is already widely applied, including:
- E-Commerce: Targeted sales, customer support, chatbots, pricing, and voice/facial recognition.
- Finance: Fraud detection, risk assessment, forecasting, and data security.
- Healthcare: Medical diagnostics, drug discovery, personalised healthcare, and patient monitoring.
- Transport: Driverless cars, robotics, navigation, and traffic prediction.
- Education: Personalised learning, language assistance, and summarising.
- Science: Data analysis, discovery techniques, research assistance, and new conjectures.
- Arts and Music: Content creation, sound engineering, and media generation.
- Humanities: Conservation, language analysis, and political views.
Previous AI-related career paths of our Physics students include:\ \ Retail: Ocado, HelloFresh\ Finance: Barclays, Citibank, Goldman Sachs, Santander\ Consultancy: KPMG, Cambridge Consultants\ AI Development: DeepMind\ \
Career support
We have a dedicated careers consultant and an internships coordinator who can help you to develop your employability.
The Queen Mary careers team can also offer:
- specialist advice on choosing a career path
- support with finding work experience, internships and graduate jobs
- feedback on CVs, cover letters and application forms
- interview coaching
Learn more about Careers Support at Queen Mary.
Data for these courses
Applied Artificial Intelligence - BSc (Hons)
The Discover Uni dataset (formerly Unistats)
About the School
The School of Physical and Chemical Sciences (SPCS) at Queen Mary combines the academic rigour of a Russell Group institution with a friendly and supportive atmosphere.
The Department of Physics and Astronomy’s teaching academics work on high-profile international collaborations, including experiments at CERN. Our researchers are searching for new planets around distant stars, developing and applying quantum technologies and theoretical concepts. Our PsiStar Physics and Astronomy Society is extremely active with around 200 members. Our academics use cutting edge experimental and theoretical techniques, alongside modern data science, to push the boundaries of their research areas.
The Department is proud to have played a role in some of the most exciting discoveries of the past 100 years, including the discovery of the W, Z, and Higgs bosons, the discovery of the closest Earth-like exoplanet to us, Proxima B, and the first ‘superstring revolution’.
We have recently recruited new staff in key areas such as particle physics, quantum technology, and space weather. We have state of the art laboratories, computing facilities, and a rooftop observatory, offering high-quality support for Physics and Astronomy teaching and research.
The Department of Chemistry enjoys an outstanding research and teaching quality reputation. We are a vibrant department, carrying out internationally leading research in fields such as Functional Materials and Nano Science, Synthesis, Catalysis, and Physical and Computational Chemistry. In the most recent Research Excellence Framework (REF) 2021, Chemistry ranked 8th in the United Kingdom for Research Impact and 9th in the UK for Research Output.
We have recently recruited new staff in key areas such as Carbon Nanotechnology, Organic Electronics, and Catalysis. The £5.2m refurbishment and modernisation of our Chemistry Lab facilities have secured the highest quality standard for Chemistry teaching and research.