The University of Greater Manchester's Master's by Research degree in AI Law and Emerging Technologies is a multidisciplinary research training programme which has been designed to embody the nature of future disciplines. With the benefit of diverse perspectives on the subject of emerging technologies, this programme raises critical questions, encourages debates designed to inspire imagination and creativity on issues relating to AI and other emerging technologies. It provides room for rigorous exercise of advanced research skills to challenge, interrogate, explore, evaluate, confirm, adapt, vary, or modify existing assumptions on these issues.
The programme is delivered through a staged and flexible approach, enabling you to develop research skills in preparation for a PhD or Professional Doctorate. Collaborative research is embedded within the programme, which prepares you for research within employment. You will have opportunities to undertake applied research projects involving knowledge exchange.
An honours degree (or equivalent) in a relevant subject, with a minimum classification of 2.1 (or equivalent).
A research proposal of approximately 1,000 words (±10%), outlining the research problem, aims, and significance, and demonstrating the need for the study and the gap it intends to address.
Successful completion of an academic interview, during which you will be required to discuss and justify your research proposal and demonstrate your suitability for a research programme.
You will develop transferable skills for independent thought and critical analysis on issues relating to technologies and their practical implications in every facet of society. Completing this course will provide you with the tools to analyse and evaluate complex issues in industries, government and non-governmental spaces. As a graduate, you will be able to solve unfamiliar problems independently whilst presenting ideas clearly, coherently and with confidence.
Core Modules:
Academic Skills and Professional Development
MRes Specialism: Critical Insights
Advanced Methodology
Research Project
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