This LLM program focuses on the intersection of Artificial Intelligence (AI) and law, exploring the legal, technological, and ethical dimensions of AI's growing influence. You will analyze emerging laws and global policies related to AI technologies such as Large Language Models (LLMs), ChatGPT, and predictive systems. The course examines the legal implications across various sectors, including intellectual property, competition, finance, dispute resolution, and more.
The program requires completion of 180 credits. This includes 90 credits of compulsory modules (one of which is a 30-credit dissertation), 60 credits from elective modules, and 30 credits chosen freely from other LLM programs. Voluntary access to lectures on Critical Thinking and Writing in Law is also available.
This program equips you for a variety of roles in fields impacted by AI and technology law. Graduates can pursue careers in legal practice, policy-making, and in-house legal departments within technology-focused industries.
Please refer to the 'How to Apply' section for specific documentation requirements.
Fees are subject to annual increases. Part-time fees are typically half the full-time fee per annum. Living cost estimates are based on 38.3-week accommodation contracts.
Queen Mary University of London is a member of the Russell Group and the University of London.
The tuition fee for international students is £33,000 per year for full-time study. Fees are subject to annual increases.
The program can be completed in one year of full-time study or two years of part-time study.
You need a 2:1 undergraduate degree in Law or a related subject, or equivalent international qualifications. Non-law graduates may be considered with relevant professional experience.
International students can apply through Queen Mary's online applicant portal, submitting an application form, academic transcripts, English language proficiency proof, and a personal statement.
A merit-based Global Talent Scholarship of £5,000 is available. Details on how to apply and eligibility are typically found on the university's scholarship database.
Graduates can pursue careers as an AI Ethicist, Legal Counsel (Technology), Policy Advisor (AI Regulation), Compliance Officer, or Data Protection Lawyer.