MSc Artificial Intelligence with Industrial Practice

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.

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.

We'll also consider relevant work experience if you don't meet these requirements.

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 a wealth of opportunities in AI-driven businesses such as Google, Facebook, Amazon and Samsung, as well as roles in the mobile and gaming industries.

More specifically, our Artificial Intelligence masters degree will equip you for roles such as:

• AI scientist at a global technology company (e.g. Facebook, Google, Samsung)
• AI analyst in finance/banking and other jobs requiring a systematic understanding of AI
• Entrepreneurial roles (e.g. business start-ups focused on AI technology)
• Industry-sponsored PhD studentship at the cutting edge of AI research.