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Courses starting in 2023


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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Northampton Square

  • Study mode

    Full time

  • Start date


  • Duration

    12 months

Course summary

Key information

This hands-on programme focuses on the most advanced nature-based AI technology, known as Deep Learning, based on neural networks and its applications. You will learn cutting-edge AI to solve real-world problems, helping you progress in your career across industrial sectors and scientific programmes.

Course overview

Benefits of this course

The course will give you the most advanced AI knowledge and skills to progress in your career

You will become an expert on Deep Learning, able to developing adaptable artificial neural networks that mimic how the brain works.

AI is transforming society and it is applied everywhere, from targeted advertising and profiling to social media, in technology and scientific discovery. You will be ready for current employment demands. You will also explore the wider issues of bias, ethics, accountability and trust that surround ‘Explainable AI’.

You will learn in the world-class, state-of-the-art City AI lab and have the latest computers and a dedicated HPC GPU node, tools and technologies at your fingertips.

Who is this course for?

If you want to learn about AI as science, this course is perfect for you. You will learn how to apply deep learning and other groundbreaking AI methods to image recognition, sequence analysis, optimal control, creativity and cognitive modelling.

You will also gain an understanding of the ethical and legal challenges of AI and how to make AI explainable and fair.

You are required to have a degree in computer science, computational neuroscience, mathematics, computer engineering, or natural sciences.

You will need to have good programming skills, particularly in Python.

You’ll also need a good imagination, be creative and have a keen interest in learning in a collaborative environment where intellectual debate and teamwork are encouraged.

Teaching and assessment

You will learn from recognised experts who are skilled in applying Artificial Intelligence to real life problems, through a series of lectures, practical classes and workshops.

After each module is introduced in lectures, you will apply what you have learnt in laboratory sessions and tutorials, developing your skills further. The laboratory will give you the opportunity to see concepts and techniques in action, using the latest software, tools and environments.

This practical MSc is assessed solely on coursework, one assessment per module. This could include short essays or practical assignments and presentations where you analyse and give examples of AI methods and techniques. You will work in teams in a collaborative learning environment.

You will also complete an individual project which is your opportunity to solve a real-world problem.


As a skilled and confident Artificial Intelligence expert you will be highly sought after by businesses including those working in health, finance, energy and transport, neuroscience companies and by government.

You’ll have many employment opportunities ranging from AI developer jobs to roles that benefit from a deep understanding of cutting-edge Artificial Intelligence techniques and tools.

This programme's emphasis on nature-inspired AI and Deep Learning, and links with industrial partners at London's Tech City and the Knowledge Quarter, will give you an advantage in finding work in AI companies and institutions.

Tuition fees

Students living in United States
(international fees)

£ 20,810per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

City, University of London

  • University League Table


  • Campus address

    City, University of London, Northampton Square, City of London, EC1V 0HB, England

Nearly all degrees offer the opportunity of a work placement, a clinical placement or time studying abroad. Many offer professional accreditation.
A diverse and welcoming community with buddy schemes, active student societies, Students' Union, student counselling and an award-winning student centre.
Partnerships with more than 100 leading institutions across the globe bring exciting opportunities to study abroad and get international work experience.

Subject rankings

  • Subject ranking

    41st out of 114 26

  • Entry standards

    / Max 236
    126 54%


  • Graduate prospects

    / Max 100
    83.0 83%


  • Student satisfaction

    / Max 5
    3.73 75%



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