MSc Artificial Intelligence

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.

Benefits of this course

The benefits of this course are many and varied and will help progress your career.

You will focus on Deep Learning, developing adaptable artificial neural networks that replicate how the brain works.

As AI is transforming society you will explore the wider issues of ethics, accountability and trust that surround it and how ‘Explainable AI’ is used to interpret the functioning of adaptable artificial neural networks.

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

Award

You can select to apply for one of the available exit points for this course.

Master of Science (MSc)

Who is this course for?

If you want to learn about AI and how to apply it to problems in modelling, data classification, prediction and control, this course is perfect.

You will need to have a degree in mathematics, engineering, computer science, or natural sciences.

You’ll also need a good imagination, be creative and have an appreciation for data and a strong interest in creating models and algorithms.

Career

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.