MSc Artificial Intelligence Applications and Innovation: Fees & Entry Requirements at Imperial College London, UK

MSc Artificial Intelligence Applications and Innovation

UK

1

What will I learn?

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.

Which department am I in?

Computing

Study options

Full Time (1 Year)

Tuition fees
£46,000.00 (50,11,985) per year
This is a fixed fee
Application deadline

18/06/2026

Start date

September 2026

Venue

Main Site

Imperial College,

Prince Consort Road,

London,

Kensington And Chelsea,

SW7 2AZ, Southern England, United Kingdom

Full Time (1 Year)

Tuition fees
£46,000.00 (50,11,985) per year
This is a provisional fee yet to be approved
Start date

September 2027

Venue

Main Site

Imperial College,

Prince Consort Road,

London,

Kensington And Chelsea,

SW7 2AZ, Southern England, United Kingdom

Entry requirements

For international students

First-Class Honours in Mathematics, Physics, Engineering, Mathematical Economics, Business, Computing, or other degree with substantial STEM content.

Successful applicants will have a degree in a STEM-strong discipline and will have a background in mathematics (linear algebra) and statistics and some programming experience in Java, Python, C++ or similar languages.

*There may be different IELTS requirements depending on your chosen course.

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