Taught course

Artificial Intelligence for the Creative Industries

University of York · School of Arts and Creative Technologies

Entry requirements

2:1 or equivalent in a related discipline. For those returning to study, evidence of appropriate experience will be required.

Months of entry


Course content

Artificial intelligence (AI) has already made a significant impact upon our society and it continues to permeate every sector of our lives at an incredibly fast pace. We will soon cohabit with AI. We will be continuously surrounded by intelligent media in extended reality spaces and will employ AI in creative expression itself. This pioneering Masters will get you ready for this imminent future and place you on a path for an exciting career.

You'll combine creativity and technical expertise, becoming equipped with the fundamental knowledge and skills around AI, with a focus on machine learning and artificial neural networks. Working on case studies and with experts in the field, you'll apply them to understand and resolve practical problems.
You'll explore how to deal with societal and ethical implications of AI, for example around issues of copyright, privacy and fakes.
You'll draw on your own creativity to identify opportunities for industry and drive forward the discovery and application of novel AI tools. This degree will motivate, inspire and enrich your understanding of this rapidly growing field and the creative opportunities which AI offers.

Information for international students

If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:

IELTS: 6.5, minimum 6.0 in each component
For more information see our postgraduate English language requirements.

Fees and funding

UK students
International students

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Professor Marian Ursu