What you will study
The course is designed to provide students with a comprehensive understanding of artificial intelligence (AI) by incorporating a wide range of core topics. On this course, you will study:
- Technical subjects, such as computer vision, natural language processing and audio analysis, to develop strong technical expertise
- Application-specific areas, such as health and the metaverse, to ensure you develop specialised knowledge in emerging AI fields
- Regulatory and legal aspects of AI, to equip you with a critical understanding of the ethical and legal considerations that will shape the future of AI.
The course consists of technical modules delivered by our School of Computer Science and Electronic Engineering, along with the opportunity to take related modules in business or law and ethics. You’ll also undertake a year-long project on an AI topic that interests you. You’ll be supervised throughout the project by an academic specialising in your chosen subject area.
Professional recognition
MSc - Institution of Engineering and Technology (IET)
Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as an Incorporated Engineer and partially meeting the academic requirement for registration as a Chartered Engineer.
Research
This degree draws on the pioneering knowledge of:
- The Surrey Institute for People-Centred AI (PAI), a pan-University institute that brings together world-leading AI and domain expertise across the University to realise and shape AI impact for public good.
- The Centre for Vision, Speech and Signal Processing (CVSSP), with more than 30 years of research experience in image processing, deep learning and machine intelligence.
- Our School of Computer Science and Electronic Engineering played a key part in Surrey being named one of nine universities in UK to be named Centre of Excellence in Cyber Security Education and Research*. The School was awarded Cyber University of the Year at the National Cyber Awards 2023.
*Awarded by the UK Government's National Cyber Security Centre
Facilities
Several of the modules you’ll study are complemented by software-based laboratory sessions. From these, you’ll complete your coursework. This is an important part of your MSc, enhancing your knowledge in preparation for the written examinations. We’ll provide you with computing support for any specialised software required during the course.
The faculty’s student common room is also covered by the University’s open-access wireless network, which makes it a popular location for individual and group work using laptops and mobile devices.
Specialist experimental and research facilities (e.g. graphics processing unit clusters) for computationally demanding projects or those requiring specialist equipment are provided by our Centre for Vision, Speech and Signal Processing.