Three EEE students working on electronics
  • Postgraduate taught
  • MSc

Artificial Intelligence Applications and Innovation

Learn AI fundamentals, explore real-world AI applications, and acquire expertise needed to become a leader in AI technologies and business

Harness AI innovations for real-world impact and entrepreneurial opportunities

Prepare for AI innovation in industry and academia

Study at I-X, Imperial's prestigious AI research and teaching initiative delivered by world-leading experts

Course key facts

Minimum entry standard

  • First class Honours in Mathematics, Physics, Engineering, Mathematical Economics, Business, Computing, or other degree with substantial STEM content

View full entry requirements

Course overview

Enhance your understanding of AI fundamentals, cultivate hands-on skills in AI technologies, delve into diverse AI applications and AI-driven business innovation.

Whether you have a background in engineering, mathematics, computer science, business or a deep interest in applying AI in industry, this course will help develop your knowledge and skills to revolutionise how we work, live, and innovate using AI, such as for industries in healthcare, finance, and robotics.

You will delve into the core of AI and machine learning, and explore the intricate world of deep learning. You will also work on a Group Project on AI Ventures and Ethics, where you will not only develop AI technologies but also craft business strategies. You will have the opportunity to showcase your AI idea to leading venture capitalists and innovation investors.

You will develop expertise and skills that are needed to drive AI innovation, create AI solutions, deploy AI applications in real-world, and pursue PhD research.


  • Join I-X, Imperial’s cross-college strategic AI initiative Work with world-leading experts in AI, machine learning, robotics and more
  • 1st in the UK Computer Science and Informatics Research Excellence Framework (REF) 2021 – based on the proportion of world-leading research
  • White City campus – a culture of collaboration and innovation An inclusive hub for innovation, entrepreneurship, and multidisciplinary research


This page is updated regularly to reflect the latest version of the curriculum. However, this information is subject to change.

Find out more about potential course changes.

Please note: it may not always be possible to take specific combinations of modules due to timetabling conflicts. For confirmation, please check with the relevant department.

You will study the core Group Project module as well as the Individual Project / Internship.

Core modules

You will take seven optional modules in total: at least two from Group A , and either four or five from the Group B.

Optional modules – Group A

Optional modules – Group B

The programme's pinnacle, where you create AI technologies for an application while exploring entrepreneurship, ethics, and social impact.

You are encouraged to bring original thinking to a research or application area of interest to you. You will have the opportunity to develop interdisciplinary projects with potential business cases.

Teaching and assessment

Balance of teaching and learning


  • Lectures and tutorials
  • Independent study

  • 12% Lectures and tutorials
  • 88% Independent study

Teaching and learning methods

  • Person at lectern giving speech
  • Laboratory work
  • Four students sitting in a tutorial
  • Individual and group projects
  • A person studying independently
    Independent study
  • Blackboard virtual learning environment
    Virtual learning environment
  • Presentations

Balance of assessment


  • Coursework
  • Examinations
  • Group & individual projects / internship

  • 20% Coursework
  • 19% Examinations
  • 61% Group & individual projects / internship

Assessment methods

  • Person completing coursework
  • A person completing a written exam
  • Checklist for a practical examination
  • Individual research project
  • Oral presentations
  • A person completing a written exam
    Written examinations
  • Papers from a written report
    Written reports
  • Essays

Entry requirements

We consider all applicants on an individual basis, welcoming students from all over the world.

How to apply

Apply online

You can submit one application form per year of entry. You can choose up to two courses.

Application deadlines – Round 3 closes on Friday 24 May 2024

Tuition fees

Home fee

2024 entry


Overseas fee

2024 entry



Scholarships and bursaries for home students

Value per award

  • Varies

Who it's for

  • Top UK home students who are eligible for home fee status
Find out more

How will studying at Imperial help my career?

Man standing under a sign pointing different directions

Master AI fundamentals and unlock global career avenues, from leadership roles in multinational tech corporations to prestigious research positions.

Robot hand

Acquire skills to design AI solutions and provide a key role in sectors like finance, healthcare, and robotics, where AI innovation is paramount.

Computer monitor business analytics

Develop entrepreneurial acumen, being equipped to spearhead AI ventures and drive innovation within established corporations.

Person in a bubble surrounded by 4 skills

Navigate the AI landscape ethically, making you a responsible and sought-after AI professional.

Terms and conditions

There are some important pieces of information you should be aware of when applying to Imperial. These include key information about your tuition fees, funding, visas, accommodation and more.

Read our terms and conditions

You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.

Programme specifications