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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 BSc
2 study options
Applied Artificial Intelligence BSc (Hons)
Key information
- Degree
- BSc (Hons)
- Duration
- 3 years
- Start
- September 2027
- 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
- £10050
- Overseas fees
- £34750
Funding information
Paying your fees
Applied Artificial Intelligence with Foundation BSc (Hons)
Key information
- Degree
- BSc (Hons)
- Duration
- 0 years
- Start
- September 2027
- UCAS code
- IFX0
- Institution code
- Q50
- Typical A-Level offer
- Grades CCC at A-Level.
Full entry requirements (including contextual admissions) - Fees
- Fees for this course are not available yet. Please contact the Fees Office for more information.
Overview
Artificial Intelligence is revolutionising industries worldwide, fuelling demand for skilled professionals. In this ever-changing field, how can you ensure your skills keep you at the forefront of the AI revolution?
Artificial Intelligence is transforming how we work, live and solve problems across industries.
On our Applied Artificial Intelligence degree, you’ll develop the mathematical, coding and deep learning skills that power modern AI technologies, and learn how to apply them to solve real-world challenges. Throughout the programme, you'll explore both the opportunities and responsibilities of AI, including its practical applications and ethical considerations.
From your first year, you’ll work on practical projects informed by industry and research, building a professional portfolio that showcases your skills to future employers. Through active, hands-on learning and authentic projects, you’ll gain experience applying AI to real scenarios while developing expertise in machine learning, generative AI, and AI development.
This degree helps you start building your professional network and skills portfolio from day one. As you progress, you’ll learn from industry and academic experts, explore how AI is transforming different sectors, and develop the technical, business and leadership skills needed to thrive in a rapidly evolving field.
By the time you graduate, you’ll have experience working on authentic AI challenges, a portfolio of projects that demonstrates your abilities, and the confidence to apply AI solutions in professional environments, not just understand the technology behind them.
A course designed by experts
You'll learn from academics working on some of the world's biggest research collaborations, including the ATLAS Experiment at CERN and the Belle II Experiment, alongside industry experts who've held senior AI roles, including Head of AI at Cambridge Consultants.
Based in London, you'll benefit from close links to industry throughout your degree, and you can apply for internships through the South East Physics Network (SEPnet). You'll also have the chance to explore how AI translates into business, with dedicated modules on entrepreneurship and consultancy, learning how to pitch your ideas to professionals.
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
Core and compulsory
- Exploring AI: Understanding and applications
- Mathematical Principles for Artificial Intelligence
- Coding practices in AI development
- Applied AI Collaborative Project
Please note that all modules are subject to change.
Year 2
Core and compulsory
- 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
Core and compulsory
- Entrepreneurship and Consultancy
- Analysing Language Datasets
- Analysis of social media
- Applied AI in Industry Project
Please note that all modules are subject to change.
The full programme details and description are available in our Programme and Module Directory
Study options
Apply for this degree with any of the following options. Take care to use the correct UCAS code - it may not be possible to change your selection later.
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
| 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 | BTEC qualifications are considered for entry to this programme.\n |
| Access HE | Access qualifications are not considered for entry to this programme. |
| GCSE | Both GCSE English and Maths at grade C or 4 or an acceptable equivalent will be required.\n\n |
| EPQ | Alternative offers may be made to applicants taking the Extended Project Qualification. \nFor 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. \n\nOur enhanced contextual offer: BBC including one of Mathematics, Physics, or Computer Science at A-Level. \n\nMore information on our contextual offer criteria can be found on our contextualised admissions page. \n\nPlease note that General Studies and Critical Thinking are excluded from any A-Level offer and cannot be considered. \n |
| A-Level | Grades CCC at A-Level. |
| IB | International Baccalaureate Diploma with a minimum of 26 points overall, including 4,4,4 from three Higher Level subjects. Higher Level Mathematics or Physics is preferred. |
| BTEC | BTEC qualifications are considered for entry to this programme. |
| Access HE | We consider applications from students with the Access to Higher Education Diploma in a science discipline e.g. Biology, Chemistry, Maths or Physics. The minimum academic requirement is to achieve 60 credits overall, with 45 credits at Level 3, of which 9 credits must be at Distinction, 36 credits at Merit or higher. Applications are considered on a case by case basis. |
| GCSE | Both GCSE English and Maths at grade C or 4 or an acceptable equivalent will be required. |
| Contextualised admissions | We consider every application on its individual merits and will take into consideration your individual educational experiences and context. More information on how academic schools and programmes use this information as part of the admissions process, can be found on our contextualised admissions pages. |
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.
If your qualifications are not accepted for direct entry onto this degree, consider applying for a foundation programme.
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
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
Preparing you for your future career
Be at the forefront of AI across every industry.
Whether you want to build intelligent technologies, solve complex problems with data, or apply AI in areas such as finance, healthcare, transport, science and the creative industries, we’ll prepare you for your future career with the technical, analytical and problem-solving skills employers are looking for.
Put your knowledge and understanding of AI into practice
Develop your AI expertise through practical projects, exploring how intelligent systems can be designed and applied to real-world challenges. Work with data, experiment with AI technologies and consider how they can be used to create new solutions across different fields.
Where Applied AI can take you
Artificial intelligence is being applied across a diverse range of industries, 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
You’ll have access to a dedicated careers consultant and an internship coordinator who can help you explore your options, develop your employability and take the next step towards your career goals.
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 career support and development 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.
