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Keele University: Law, Artificial Intelligence and New Technologies

Institution Keele University
Department School of Law
Web http://www.keele.ac.uk
Email enquiries@keele.ac.uk
Study type Taught

Summary

Develop your knowledge and understanding of the technological and legal aspects of Artificial Intelligence, big data, data protection and privacy law. Issues at the intersection of new and emerging technologies and the law are becoming a global priority as the value of big data and AI and the harm accruing from data security breaches and technological abuses, becomes more apparent. This is a multidisciplinary course that develops a broad range of skills and knowledge, to prepare you for a wide range of careers in the public and private sector, in addition to giving you a foundation in the areas of law and computer science.

  1. The programme is unique in that it is interdisciplinary and fully integrated in the Schools of Law and Computing and Mathematics.
  2. Both Schools have strong undergraduate and postgraduate programmes and internationally recognised research in areas of law and ethics, artificial intelligence and big data.
  3. The School of Computing and Mathematics has worked with a large number of companies and public organisations that have a strong interest in developing their software development and IT management capabilities.
  4. We are also based in a part of the country where many companies need upskilling of their workforce and also expansion of their legal, IT and software related operations.

To suit your individual interests, Law, Artificial Intelligence and New Technologies offers three pathways that cater for the diversity of students undertaking it and their particular expertise.

Pathway one is for Law graduates. Pathway two is for Computer Science graduates or individuals that have expertise in the field. Pathway three is for graduates from any other discipline.

You can combine the programme’s common core modules with your choice of specialist options both provided from the Law School and the School of Computing and Mathematics. You will have the opportunity to write a Master’s level dissertation addressing a legal or technological problem regarding new technologies co-supervised by academic staff from the School of Law and Computing and Mathematics.

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