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Learn the fundamental concepts and tools essential to any AI job role, for the benefit of humans and society.
No. 1
Leading UK university in the field of computer visionFootnote 1
24 months
Completion time, part time
3 start dates
Every September, February, and June
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This course combines a strong focus on technical expertise, with social, ethical, and regulatory understanding to answer the worldâs biggest challenges.Â
This course uniquely equips you for almost any job or industry that does or could leverage AI â from tech-facing to social or creative roles.
The University of Surrey is a world-class, research-led university that seeks to drive innovation, deliver impact, and answer the worldâs biggest challenges. When you choose postgraduate study at Surrey, you will find more than a masterâs â you will find research-informed teaching, personal connections, and a path to achieving your career goals.
TuitionÂŁ12,900Tuition and fees are subject to change and may increase each academic year. Tuition does not include technology platform licensing, or support services.
Technology and services powered by 2U, Inc., the parent company of edX.
The MSc People-Centred Artificial Intelligence course consists of 180 credits and is divided into 11 fully autonomous credit-bearing modules. Its cross-discipline approach builds on a strong technical foundation, placing people at the center of all innovation. You will learn fundamental AI concepts and master universal machine learning tools essential for any AI job role, as well as specific practical and research skills in key AI topics and applications.Â
By the end of the course, you will have:
Study subjects such as machine learning, computer vision, and pattern recognition. You will gain in-depth knowledge and experience with cutting-edge tools such as deep neural networks (DNN), transformers, diffusion models, and deep reinforcement learning (deep RL).
Explore emerging AI fields such as health, sustainability, and the Metaverse. You can leverage the cross-disciplinary research to use AI to solve challenges in industries finance, healthcare, manufacturing, or entertainment.
Gain a critical understanding of the societal, ethical, and legislative aspects that will shape the future of AI. Channel your tech expertise to use policy or innovation to implement tech for the betterment of people and society.
To meet the entry requirements for the MSc People-Centred Artificial Intelligence, applicants must have a minimum of a Lower Second Class Honors (2:2) UK undergraduate degree, or a recognized equivalent international qualification. It is strongly recommended that this qualification is in:Â
EngineeringÂ
Physical Sciences
Mathematical Sciences
Computer Science
We will also consider graduates with relevant work or programming experience.Â
The following materials are required to complete the online application:
TranscriptsÂ
Two references (professional or academic)Â
Personal statement (500 to 1,000 words)
Résumé/CV (optional)
English proficiency scores (if English is not your first language)
This MSc is developed and delivered by leading academics and pioneers in translating computer science research into commercial application. The course lead, Professor Ying-Zhe Song founded the in-person MSc and is the co-director of the Surrey Institute for People-Centred AI (PAI). He also leads the SketchX Lab within the Centre for Vision, Speech and Signal Processing (CVSSP), one of the UK's oldest and largest AI research centers.Â
Other key academics:
Professor Adrian Hilton: Director of PAI, Fellow of the Royal Academy of Engineering, who successfully commercialized 4D computer vision techniques.
Professor Josef Kittler: Fellow of the Royal Academy of Engineering, pioneer of modern machine learning and founder of CVSSP.
Professor Tao Xiang: Chief Scientist at Samsung AI Research Centre, Cambridge.