Join an innovative, interdisciplinary programme that uniquely combines learning about how the technology works with an understanding of the important philosophical and ethical questions it poses and which shape policy for its implementation.
The course does not assume any prior technical knowledge or familiarity with the philosophical debates and would appeal to graduates from a wide range of backgrounds looking to equip themselves with the knowledge necessary for a fast-changing world.
Artificial intelligence is transforming the world of work, creativity, and communication - but understanding it and its impact goes beyond coding. This interdisciplinary course explores how AI connects with human thinking, ethics, and society, helping you navigate and shape the future of intelligent technologies.
Taught by staff with expertise in computing and philosophy, the course combines technical know-how with an understanding of the technology’s theoretical and social context. You’ll learn how AI systems work, what they can and can’t do, and how we can use them responsibly.
With a focus on discussion, collaboration, and applied thinking, you’ll explore key questions such as: Can machines really think? How do we balance innovation with fairness and accountability? What ethical and policy frameworks do we need to guide AI development?
Whether you’re in tech and want to understand AI’s social implications, or from the humanities and want to engage with the science driving change, this interdisciplinary programme advancing your understanding of the technology in its human context.
Join a vibrant community at Hull’s DAIM Centre, one of the UK’s leading hubs for research and teaching in AI and data science. Graduate with the critical, ethical, and analytical skills employers increasingly value - and help shape how we live with intelligent technology.
*Price shown is for indicative purposes, please check with institution
September 2027
Hull Campus
Cottingham Road,
Hull,
East Riding of Yorkshire,
HU6 7RX, Northern England, United Kingdom
You'll need an Undergraduate degree (or equivalent). Applicants will require a 2:2 Undergraduate honours degree in any subject that includes a numerical component (i.e., statistical analysis, or formal mathematics, or programming in any given language), or equivalent industrial experience. The programme is designed for graduates from any discipline.
*There may be different IELTS requirements depending on your chosen course.
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