menu icon
Book your open day visit nowClick to book open day
Artificial Intelligence MSc

Different course options

Full time | Stag Hill | 1 year | 25-SEP-23

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai) Electronic Engineering

Course type


Course Summary

Why choose this course

Our new MSc is the only course of its kind in the UK. It covers the three most important aspects of artificial intelligence (AI) – vision, speech and 5G – each backed up by one of our world-leading research groups. Our programme also encompasses the business, regulation and ethics aspects of modern AI.

The growth of AI is rapidly changing the way we live, work and learn. However, there’s a real shortage of AI talent worldwide, both to serve the industry and to drive future research.

Studying on this course will enable you to capitalise on the wide spectrum of career opportunities provided by AI, preparing you to work in industry, take an entrepreneurial route or pursue further research.

What you will study

This one-year full-time MSc will teach you about fundamental AI concepts and the universal machine learning tools essential for any AI job role, as well as specific practical and research skills in the three key AI topics of vision, speech and 5G. You’ll gain experience with cutting-edge tools such as deep neural networks (DNN), recurrent neural networks (RNN) and deep reinforcement learning (Deep RL) through regular hands-on exercises and practical labs.

Careers and graduate prospects

We offer careers information, advice and guidance to all students whilst studying with us, which is extended to our alumni for three years after leaving the University. Our graduates have lifetime access to Surrey Pathfinder, our online portal for appointment and events bookings, jobs, placements and interactive development tools.

Our graduates have?numerous opportunities in?AI-driven businesses?such as?Google, Facebook, Amazon?and?Samsung,?as well as?roles in the?mobile and gaming industries.


This module introduces the students to the key ethical and regulatory issues associated with artificial intelligence, as well as to the methods of analysis of those issues used in ethics and in law. The focus of the module is on the current state of the art in the applications of artificial intelligence (in particular: of machine learning), with smaller emphasis on hypothetical future developments. The module makes use of the case study method to introduce students to ethical and regulatory (legal) questions through discussion of relevant major incidents from recent years. The module helps students develop their thinking on how to translate abstract ethical (and regulatory) requirements of fairness, explainability or privacy into engineering and business practice.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


Entry requirements

A minimum of a 2:2 UK honours degree in communication engineering, computer engineering?, computer science?, electronic and computer engineering?, electronic engineering?, information and communication technologies, information systems engineering, maths?, physics, telecommunication engineering?, or a recognised equivalent international qualification.

University information

The University of Surrey was established in 1891, and has a long and rich history of education and innovation. It welcomes more than 4,000 postgraduate students annually, forming an international research and learning community representing over 120 countries from around the world. The university is known for celebrating cultural diversity and fosters an inclusive student body. The University of Surrey is a research-driven institution, and...more

Similar courses at this uni