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  1. Queen Mary University of London
  2. Undergraduate
  3. Course info
  4. Applied Artificial Intelligence

Applied Artificial Intelligence

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From ideas to intelligence

Get hands-on with the maths and coding that power artificial intelligence. From your first year, you'll work on real projects designed by experts, exploring AI's impact on everything from ethics to everyday life. Build skills and confidence while creating your own unique professional portfolio.
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Top 100in the world for Data Science and AI

(QS World University Rankings by Subject 2026)

1stAmong Russell Group Universities in London for Student Voice

(National Student Survey 2026)

Top 20Among UK universities targeted by leading employers for the past six years

(The Graduate Market 2026)

Why Applied Artificial Intelligence at Queen Mary?

  • Strong AI Foundations: Learn the fundamental mathematics, programming, machine learning, and deep learning skills that underpin modern AI systems and applications.
     
  • Industry-Relevant, Practical Learning: Gain hands-on experience through real-world projects set by leading researchers and industry professionals, combining theoretical knowledge with practical application.

  • Learn from Leading Experts: Study with internationally recognised researchers involved in major scientific collaborations such as the ATLAS Experiment and Belle II, alongside industry experts with senior AI leadership experience.

  • Specialist AI Curriculum: Explore modules including Coding Practices in AI Development, Exploring AI and Understanding Applications, AI in the Real World, and Entrepreneurship and Consultancy.

  • Dedicated Academic Support: Every student is assigned a personal Advisor for guidance on module selection, career planning, postgraduate applications, references, and wider academic support.

  • Excellent Career Prospects: 88% of Queen Mary's graduates are employed or in further study withing 15 months of graduating (Graduate Outcomes Survey 2023-2024). AI graduates are equipped for careers across sectors including finance, healthcare, e-commerce, transport, education, science, and the creative industries. Alumni have progressed to organisations such as Ocado, HelloFresh, Barclays, Citibank, Goldman Sachs, Santander, KPMG, Cambridge Consultants, and Google DeepMind.

  • Global and Supportive Community: Join a diverse international student body and benefit from a vibrant academic environment, industry events, seminars, and networking opportunities.

  • Prime London Location: Study in one of the world's leading centres for science, technology, business, and culture, with excellent access to employers and professional networks.

Studying Artificial Intelligence

Module Highlights

  • 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.

Discover our programme

Find a course

One of the things I've enjoyed most about the Applied AI course is the balance between group work and independent assessments. I believe this balance is essential for developing both transferable and technical skills. In my first year, I've developed coding and AI development skills while also exploring topics such as ethics, sustainability, and the wider impact of AI. It has given me a broader understanding of the field and a strong foundation for the years ahead.
— Shyam Essampalli, BSc Applied Artificial Intelligence
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