Universities United Kingdom Keele University Courses Law, Artificial Intelligence And New Technologies - Msc/Llm

Law, Artificial Intelligence And New Technologies - Msc/Llm
at Keele University

Keele, United Kingdom

Tuition Fee £ 17,900
Country Rank#58
Duration12 Months
Score IELTS: 7

Program Overview

From cyber-security protection and regulatory compliance to core data asset rights and the long-term management of technology systems, the list of challenges posed by new and emerging technologies is expanding as rapidly as the technology itself.

Our MSc/LLM in Law, Artificial Intelligence and New Technologies offers the chance to gain a deeper, more systematic understanding of the problems that can arise when businesses and organisations attempt to harness the full power of new technology.

You'll explore issues such as data privacy law, AI and robotics regulation, as well as the underlying principles and concepts of Internet technologies, web-based applications and enterprise and data analytics systems.

Whether you come from a background in law, have an interest in technology or already work for a tech company or a business processing data, it will prepare you to provide appropriate guidance and solutions to successfully manage risks.

Combining the academic expertise of two of Keele's academic Schools, the course provides a unique opportunity to engage with academics who are carrying out internationally recognised research in areas of the law and ethics, AI and big data. Keele School of Law is an internationally recognised centre for cutting-edge, socially relevant legal research, while the School of Computing and Mathematics was recently one of only 18 universities chosen as part of a £13m Office for Students initiative to boost the number and diversity of AI and data science graduates.

Course Content
Compulsory core modules

LAW-40066 Regulating Data and the Digital World (15 credits, Semester 1)

You are introduced to the key legal frameworks regulating personal data and information technologies. This will provide you with a systematic understanding of the General Data Protection Regulation (GDPR), its legal and practical consequences, and the major jurisprudential developments on data privacy. A European Union regulation, GDPR is arguably the most advanced data protection law worldwide and remains applicable to the UK post-Brexit. Teaching will cover a range of additional topics, such as legal and regulatory issues raised by information technologies such as the regulation of social media, accountability of Internet intermediaries, eCommerce and Intellectual Property (IP) in the digital environment.

LAW-40068 Robots and AI Law (15 credits, Semester 2)

This module focuses on legal and ethical issues relating to different aspects of the development, application and use of robots and AI. You'll be introduced to the definitions of robots and AI, questions of responsibility and liability when it comes to robots, and the ethical and socio-legal implications of AI. You will learn about the regulation of AI and key challenges that arise in this respect, for example, how the law should regulate self-driving cars or AI- facial recognition technologies.

LAW-40070 Dissertation (60 credits, Semester 3)

You will have the opportunity to write a master’s level dissertation addressing a legal or technological problem regarding new technologies, supervised by academic staff. The interdisciplinary nature of the course means you have considerable flexibility when coming up with potential topics. You could focus on a more technical project examining how user algorithms can predict performance for a specific employer, or try to solve an AI problem by developing a computer science solution. Alternatively, you could identify potential legal or ethical issues that might arise, for example, as a result of automated weapons or machine learning.

Which core module you study of the two below depends on whether or not you have a background in computer science.

CSC-40044 System Design and Programming (15 credits, Semester 1)

This module must be studied by students without a computer science background. It provides a comprehensive introduction to system design and programming for those who did not graduate from a computer science or related programme. You will be able to develop programs in a major programming language using principles taught on this course. This module covers: the principles and practice of system design in the context of an available set of requirements; an introduction to programming (algorithms, data structures, data storage and manipulation and user interfaces); an introduction to object oriented programming; the development of computer programs using appropriate technology and including accessing data over the internet; and the use of user interfaces to manipulate and display data.

OR

CSC-40072 Mathematics for AI and Data Science (15 credits, Semester 1)

For students with a computer science background, this module provides an introduction to the mathematical concepts relevant to AI and data science for students from non-mathematical backgrounds. You will learn to evaluate various mathematical approaches when analysing any given data set, selecting and applying suitable techniques, including periodic functions, to solve relevant AI and data science problems in calculus, linear algebra, statistics and probability.
Entry Requirement
ACADEMIC ENTRY REQUIREMENTS

You should have a first or second class honours degree (or foreign equivalent) in Law or a related discipline. Applications are welcome from current legal practitioners or any other person with appropriate professional qualifications and/or experience.

ENGLISH LANGUAGE ENTRY REQUIREMENT FOR INTERNATIONAL STUDENTS

Applicants for whom English is not a first language must provide evidence of a qualification in English language. The minimum score for entry to the LLM is academic IELTS 6.5 (or TOFEL 91). Students who have taken one of the English language qualifications but did not achieve the required grade may be admitted to the programme provided that they study on a pre-sessional English Language course before they start their degree studies.

Keele University currently accepts Tofel iBT tests that have been taken outside of the United Kingdom. All Tofel iBT tests will need to be taken no longer than two years prior to your start date at Keele and must be verifiable with ETS. If you have taken your Tofel iBT test in the UK please contact the admissions team for more information.
Fees & Scholarships
International - Full time £17,900 per year
Career Prospect
The knowledge gained through this programme will place you in a unique position to access careers in law firms, local and national government bodies, law enforcement and justice agencies, think tanks, and tech companies. You could find roles as a Data Protection Officer (DPO) or advisor on new technologies governance and best practice models with significant chances of employment in the national, European and international marketplace.

By developing your ability to undertake critical analysis, problem solve and present rational, coherent and accurate arguments orally and in writing, you’ll graduate with essential skills valued by legal and non-legal employers alike.

It will also equip you with research skills in both Law and Computer Science, providing a strong foundation for pursuing further study at doctoral level for those interested in doing so. You could easily then move into a teaching career within secondary, further or higher education.

POSITIONS MAY INCLUDE:
- Academic
- AI strategy manager
- Analyst
- Applied AI developer
- Business analyst
- Data analyst
- Data protection officer
- Database administrator
- Data manager
- IT consultant
- Lecturer
- Project manager
- Senior technical manager
- Solicitor
- Teacher
- Technical assistant
- Technical consultant

Cost Of Studying At Keele University

Interest rates as low as 8.9% ^*

250K+

Students Assisted

800Cr+

Loan Amount Disbursed

5000+

Loans Sanctioned

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Law, Artificial Intelligence And New Technologies - Msc/Llm at Keele University