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University of Birmingham: Law, Regulation and AI Ethics
Institution | University of Birmingham View institution profile |
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Department | Birmingham Law School |
Web | https://www.birmingham.ac.uk |
law-llm@bham.ac.uk | |
Study type | Taught |
Summary
Artificial Intelligence and data-driven approaches to decision-making are transforming almost every industry and policy sector. These technologies have already generated extraordinary benefits. However, they bring with them new challenges and new threats, and raise new questions about the limits of their responsible and ethical use. These questions have acquired fresh urgency and importance since the emergence of so-called ‘frontier AI’ models, which underpin powerful applications including Chat GPT.
To date, universities have primarily sought to train data scientists or IT lawyers rather than to equip legal specialists with a proper understanding of these technologies and their potential social, democratic and ethical risks. Our MSc will equip law graduates and current practising legal professionals with the skills needed to identify these issues and respond thoughtfully to the regulatory challenges they raise.
The programme will consist of six fundamental core modules, group and individual project work, which will develop your understanding of the cutting-edge contemporary challenges raised by data science and some of the broader social, democratic and ethical issues that they may implicate.
Employability is at the forefront of the MSc in Law, Regulation and AI Ethics. Developed in collaboration with industry partners, the MSc aims to fill a skills gap in the sector. The ability to interpret and apply computer science-related skills, whilst critically understanding the legal and ethical impact of their work is integral to the future of the legal and commercial industry, and our MSc will give you these skills.
This programme is currently subject to approval.
Why study this course? - Created in collaboration with industry and in partnership with Accenture, the MSc Law, Regulation and AI Ethics has the backing of top legal firms who will support the development of the programme with opportunity for paid work experience for those succesfully completing their term 1 modules
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Pursue a programme of study developed by world-leading academics including Professor Karen Yeung, Interdisciplinary Professorial Fellow in Law, Ethics and Informatics.
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Develop a ground-breaking interdisciplinary mind-set that fuses innovations in data science with the development of legal and other critical analytic skills needed to advise organisations on how data-driven technologies can be developed and implemented in a socially responsible manner.
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Develop a speciality in the new and developing field of ‘Law, Regulation and AI Ethics’ with the opportunity to carve your expertise through industry projects and placements.
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Build your network from day one with personalised careers coaching provided by our award-winning careers service and mentorship with our partner firms.
MSc
Level | RQF Level 7 |
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Entry requirements | Applicants should have a good Law Honours degree or considerable comparable professional experience and have an understanding of applied mathematics via A in A-Level Mathematics (or equivalent). Applicants with a lower maths qualification will be considered, and if successful, will be required to pass an intensive on-campus Maths Bootcamp before beginning the programme. |
Location | Edgbaston Campus Edgbaston Birmingham B15 2TU |
Our high-quality teaching and supervision will help you take your skills and career to the next level.
Here, you’ll feel engaged, motivated and challenged, as part of our inclusive community that has a strong research culture. At Birmingham, we’ll support your health, wellbeing and personal development. While our professional and academic careers services will help you take the next step. This is your time. This is your place.
With more than 600 taught programmes and a range of research opportunities to choose from, Birmingham is one of the most popular UK universities for postgraduate study.
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