LLM Law, Technology and Innovation

Key facts

  • Start date: Sep 2024
  • Study mode and duration: Full-time (1 year) or part-time (2 years), on-campus
  • Scholarships: EU Engagement Scholarships worth £10,000 available to applicants from EU countries

Study with us

  • a blend of legal and technological skills, taught by subject experts and visiting international scholars – the first of its kind in the world
  • develop coding skills and learn how these can be applied to the legal profession
  • an opportunity for law and non-law graduates to gain a better understanding of technology that the law regulates
  • explore the legal ramifications of rapid innovation driven by AI, machine learning and big data
  • learn how this relates to the work of law firms and multinationals in the fields of regulation, public law, IP law, commercial law, economics and law, human rights and cybersecurity law
  • undertake industrial internship, professional consultancy project, technology-design project or dissertation research project
  • combine with modules from other disciplines including Business, Engineering and Science
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Why this course

Developed through discussions with a range of international stakeholders, this programme is understood to be globally unique in teaching technological skills, technology law, innovation and leadership. It does not require prior knowledge of coding or law.

Graduates will have the opportunity to build their own technological projects while gaining an understanding of the law that regulates the design, development and distribution of technology internationally.

You will explore legal issues related to innovation and leadership in the context of shifts toward automated decision-making and algorithmic regulation driven by AI, machine learning, big data and other advances in computing power. There will be opportunities to learn coding languages and gain a better understanding of algorithmic bias.

Elective modules include:

  • Coding for lawyers and legal applications
  • Statistics and machine learning for lawyers and legal application
  • Cyber crime, cyber security and anti-theft law
  • Intellectual property, commerce and innovation
  • Law, power and accountability in the algorithmic state
  • Law and economics for digital markets
  • Human rights and digital technologies

Modules are delivered by an expert team of experts actively researching the field of technology law. Teaching will also be supported by eminent visiting academics who are major names in their field.

Students will have the opportunity to apply to:

  • undertake placement or consultancy projects to develop their skills through more advanced coding projects, or
  • explore a technology law issue in detail through a dissertation or enhanced research proposal

THE Awards 2019: UK University of the Year Winner

What you'll study

The programme may be completed or over one year (full-time) or over two years (part-time). The LLM is awarded on successful completion of six modules and a summer project (dissertation, internship, consultancy, enhanced research proposal, or coding project).

Work placement

Students have the opportunity to apply to do an internship or consultancy as their summer project in preference to a dissertation. Students will spend a minimum of 100 hours working for or embedded with an external organisation; specific arrangements will vary depending on the needs of the external organisation.

Major projects

Students have the opportunity to build basic technology projects in the technological modules, and can then go on to build a more advanced technology project as their summer project in preference to a dissertation.

Guest lectures

The Law School attracts highly prestigious speakers. In recent years, this has included:

  • Richard Susskind OBE, independent adviser to international professional firms and national governments on technology law and a visiting professor at Strathclyde Law School
  • Nicola Sturgeon, former First Minister of Scotland
  • Humza Yousaf, current First Minister of Scotland
  • Lord Robert Reed, President of the UK Supreme Court


We embrace a range of assessments to develop legal and technological skills that will be useful to graduates in a range of professional careers, including prompt engineering analyses, podcasts, blogs, coded projects, machine learning applications, client project pitches, reaction papers, case study appraisals, case notes, reports, policy briefs, essays and presentations

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Course content

Regulating Technology

Analyses the suitability of existing and emerging regulatory models with respect to new technologies, examines the need for new regulatory regimes, and considers regulatory issues via a series of case studies using an interdisciplinary lens.

The module responds to scholarly and professional needs for legal education in the field of regulating technologies. What propels these needs is a shift towards automated decision-making and algorithmic regulation (e.g., in law enforcement, the justice system, or public service delivery), driven by advances in computing power, machine learning and big data analytics.

Innovation and Leadership

Given the rapid changes in process across all industries, this module is important in equipping graduates from legal and non-legal backgrounds with the tools required to properly respond to the issues raised by rapid innovation, and to properly employ ideas surrounding the questions of innovation while building their leadership skills.

Coding for lawyers and legal applications

An understanding of computing systems has become an increasingly essential part of what lawyers do. But the possibilities for lawyers with computational literacy exceeds are more than simply keeping up in the environment in which they operate. Lawyers with coding skills can function at the intersection of computer science and law. This module will teach students the ability to code basic projects using the R and Python programming languages and offer the opportunity to participate in a hackathon.

Statistics and machine learning for lawyers and legal application

Increasingly, understanding data science is an essential part of what lawyers do. Machine learning raises various legal concerns (e.g. regarding algorithmic bias), particularly where machine learning has legal application (e.g. judicial decision-making).

The premise of this module is that one cannot fully understand algorithmic bias without understanding algorithms. This module therefore offers an introduction to work with big data and using it to make predictions.

Students will construct one of the most politically-maligned applications of big data in the modern era – a predictive policing tool – and to the best of their ability fashion it to avoid replicating bias. Then, having done so, they will examine how bias could have crept into the devices they have built and develop a set of cautions they would provide to anyone who might make use of their tools.

Cyber crime, cyber security and anti-theft law

Cyber crime, cyber security and anti-theft law is a significant and growing challenge in both technology and law. This module will provide an overview of the legal framework for the regulation of digital information and associated technology, in the context of the commodification of data and the applicable legal rules in both domestic and international law.

Intellectual property, commerce and innovation

In spite of the widespread presence of intellectual property in law schools, in industry and the media, even basic issues in intellectual property remain misunderstood. This module, by providing students with the skills and information to navigate a world of intellectual property protection, will consider cutting-edge technologies, such as machine learning and generative AI, and enable students to effectively protect and assert their rights as well as avoid liability for infringing those of others.

Law, power and accountability in the algorithmic state

Recent legal developments relating to AI demonstrate a public concern (and desire) for new regulatory approaches to digital technologies that incorporate any form of automated analysis and/or decision-making, particularly when deployed by the state in ‘high-stakes’ areas such as policing and migration.

This module analyses developments and challenges in public law arising from the use of algorithmic decision-making systems - including both constitutional and administrative law - via a range of legal, constitutional and cross-disciplinary methods to equip students with the capacity to think critically about how the law applies in this area and to engage critically with complex legal issues arising from algorithmic decision-making in the real-world.

Law and economics for digital markets

This module responds to a significant demand for legal experts with an understanding of the commercial stakes of technology related issues. It will apply a law and economics framework to legal issues related to new technology and digital markets, and evaluate the usefulness of the L&E framework and its positive and normative limits.

Human rights and digital technologies

The potentially maleficent impact of digital technologies on human rights creates a real urgency for understanding this connection, but there is also a pressing need to study these technologies’ beneficent effects on human rights, an area that is garnering growing attention from human rights researchers and NGOs. Emerging scholarly discussions on the development of digital human rights, or on the hybridisation of public and private governance of digital technologies and attending debates on the vertical and horizontal effects of human rights law, will also be addressed in this class.

Faculty of Humanities & Social Sciences Scholarships

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Entry requirements

Academic requirements

First or second-class Honours degree, or overseas equivalent, in Law or any other discipline. Other qualifications may be accepted where the applicant has relevant work experience. Please note that a Law or Computer Science degree is not required for entry to this programme.

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Fees & funding

Fees may be subject to updates to maintain accuracy. Tuition fees will be notified in your offer letter.

All fees are in £ sterling, unless otherwise stated, and may be subject to revision.

Annual revision of fees

Students on programmes of study of more than one year (or studying standalone modules) should be aware that tuition fees are revised annually and may increase in subsequent years of study. Annual increases will generally reflect UK inflation rates and increases to programme delivery costs.

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  • Full-time: £10,800
  • Part-time: £5,400
England, Wales & Northern Ireland
  • Full-time: £10,800
  • Part-time: £5,400
  • Full-time: £21,700
  • Part-time: £10,850
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Contact us

Prospective student enquiries

Contact a member of our team on LiveChat between 10am and 4pm (GMT)

Telephone: +44 (0) 141 444 8600

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Start date: Sep 2024

Law, Technology and Innovation

Start date: Sep 2024

Start date: Sep 2024

Law, Technology and Innovation

Start date: Sep 2024

Start date: Sep 2024

Law, Technology and Innovation

Start date: Sep 2024

Start date: Sep 2024

Law, Technology and Innovation

Start date: Sep 2024