BSc Applied Artificial Intelligence
Queen Mary University of London
About this course
BSc (Hons) in Applied Artificial Intelligence, an artificial intelligence degree centred on computational, mathematical and practical implementation techniques. Core topics include Programming, Entrepreneurship, and Artificial Intelligence & Machine Learning. Students build a professional portfolio through practical projects set by industry professionals and researchers. The first year covers foundational concepts through Exploring AI: Understanding and Applications, Mathematical Principles for AI, Coding Practices in AI Development, and Applied AI Collaborative Project. The second year examines advanced tooling and practical contexts via Tools and Applications of Generative AI, Machine Learning, AI in the Real World, and Disciplinary AI project. The final year focuses on professional applications and business contexts through Entrepreneurship and Consultancy, Analysis of Social Media, Analysing Language Datasets, and Applied AI in industry Project.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
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: Both GCSE English and Maths at grade C or 4 or an acceptable equivalent will be required. 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.
Real offers for this course
Applicants have posted 1 UCAS decision for BSc Applied Artificial Intelligence (I401) at Queen Mary University of London for 2027 entry so far. The published offer is AAB at A level.
What students say
Based on about 8 final-year students who answered, across similar courses at this university (a small group: a rough guide only)
- Teaching on my course: 81%
- Learning opportunities: 72%
- Assessment and feedback: 70%
- Academic support: 88%
- Organisation and management: 50%
- Learning resources: 72%
- Student voice: 67%
Do students stay on the course?
Based on about 20 students who started, across similar courses at this university (a small group: a rough guide only)
- Continued on course: 95%
- Moved to a lower qualification: 5%
What graduates do next
Based on about 91 graduates who answered, across similar courses at this university
- Working: 68%
- Working and studying: 7%
- Further study: 7%
- Unemployed: 10%
Most common jobs
- Information Technology Professionals: 61%
- Science, engineering and technology associate professionals: 8%
- Business, Research and Administrative Professionals: 6%
- Sales occupations: 5%
- Business and public service associate professionals: 5%
- Find their work meaningful: 72%
- Feel on track for their future plans: 78%
- Use what they learnt on the course: 61%
Where graduates work (5 years on)
Based on about 180 graduates, across similar courses at this university
- North East: 1%
- North West: 2%
- East Midlands: 1%
- West Midlands: 1%
- East of England: 6%
- London: 84%
- South East: 5%
- South West: 1%
Who gets in
Based on about 20 students who started, across similar courses at this university (a small group: a rough guide only)
- A levels: 80%
- Baccalaureate: 10%
- Access course: 5%
Accreditation & quality ratings
TEF 2023 (whole university): Silver overall, Bronze for student experience, Silver for student outcomes.
Modules
- Exploring AI: Understanding and Applications
- Mathematical Principles for AI
- Coding Practices in AI Development
- Applied AI Collaborative Project
- Tools and Applications of Generative AI
- Machine Learning
- AI in the Real World
- Disciplinary AI project
- Entrepreneurship and Consultancy
- Analysis of Social Media
- Analysing Language Datasets
- Applied AI in industry Project
Questions about this course
How much do graduates of BSc Applied Artificial Intelligence at Queen Mary University of London earn?
The median salary is £33,500 after 15 months, £40,500 after 3 years, £52,000 after 5 years. After five years the middle half of graduates earn between £36,000 and £75,000. The £52,000 median after five years is £3,500 more than the UK median for Artificial intelligence.
What do graduates of BSc Applied Artificial Intelligence at Queen Mary University of London do next?
82% were in work or further study 15 months after finishing (Graduate Outcomes 2022-23).
Are students happy with the teaching on BSc Applied Artificial Intelligence at Queen Mary University of London?
81% of final-year students were positive about the teaching in the National Student Survey 2024-25.
What grades do I need for BSc Applied Artificial Intelligence at Queen Mary University of London?
The typical offer is AAB at A level, or 34 points in the IB. The average entrant had 163 UCAS points.
How many students continue on BSc Applied Artificial Intelligence at Queen Mary University of London?
95% of students continued into their second year, and 0% left higher education.