University of Surrey · Full-time
Artificial Intelligence
Why choose this course Our Artificial Intelligence MSc stands apart as the sole programme of its kind in the UK. It draws on the profound knowledge of our pan-University Institute for People-Centred AI (PAI) and the Centre for Vision, Speech and Signal Process…
MSc1 yearFull-time
Browse computer science courses in UK
FEPS - School of Computer Science and Electronic Engineering · Computing
Why choose this course Our Artificial Intelligence MSc stands apart as the sole programme of its kind in the UK. It draws on the profound knowledge of our pan-University Institute for People-Centred AI (PAI) and the Centre for Vision, Speech and Signal Processing (CVSSP), both top-ranked for AI research: No. 1 in the UK for computer vision. This masters 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 key AI topics and applications. 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. 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. Our Artificial Intelligence masters degree 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. And if you choose the placement pathway, you'll have the opportunity to undertake a postgraduate placement year, allowing you to gain crucial workplace experience. We’ll support you in finding a placement with a company most suited to your career goals. 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.
Getting in
As the university states it
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. English language requirements IELTS Academic: 6.5 overall with 6.0 in writing and 5.5 in each other element.
Worth reading next
Bachelor's in Computer Science: The Complete Guide
A complete guide to Computer Science degrees — what you study, entry requirements, real graduate outcomes, cos…
Studying in the UK: The Complete Guide for International Students
A complete guide to studying in the UK — universities, costs, the Student visa, scholarships and the Graduate…
Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.