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Advanced Artificial Intelligence
Artificial Intelligence (AI) is rapidly becoming a core technology with a diverse range of applications across science, healthcare and society. This MRes goes beyond basic principles. It offers research-focused training that will equip you with the skills and…
Masters2 yearsPart-time
Browse computer science courses in UK
Informatics · Computing
Artificial Intelligence (AI) is rapidly becoming a core technology with a diverse range of applications across science, healthcare and society. This MRes goes beyond basic principles. It offers research-focused training that will equip you with the skills and knowledge for doctoral study, and industrial AI research or engineering roles. This course is for you if you have recently studied a closely related technical degree and have a deep interest in artificial intelligence research methods. You’ll explore: - cutting-edge machine learning and bio-inspired AI techniques - how AI can be applied in a range of contexts, and the potential of implications of this - AI research and scientific communication skills. A research project on a topic of your choice will give you the opportunity to develop and demonstrate your skills and understanding. At — you’ll learn from experts with an established history and reputation in AI. We have recently created — AI, a Centre of Excellence, based in the Department of Informatics and led by members of the AI research group. We have strong links with other interdisciplinary centres such as: - — Neuroscience - — Digital Humanities Lab - — Centre for Consciousness Science. You’ll also benefit from our established industrial collaborations. When you graduate, you’ll enter a workplace with strong employer demand for skilled people in AI and data science. We understand that deciding where and what to study is a very important decision. We’ll make all reasonable efforts to provide you with the courses, services and facilities described in this prospectus. However, if we need to make material changes, for example due to government or regulatory requirements, or unanticipated staff changes, we’ll let you know as soon as possible.
Getting in
As the university states it
You should have an upper second-class (2.1) undergraduate honours degree or above. Your qualification should be in computer science, mathematics, physics or engineering but must contain modules in: machine learning / statistical modelling / artificial intelligence, and linear algebra / mathematics, and computer programming using Python / R / C / C++ / MATLAB / Java. Candidates with degrees in other subject areas which contain these modules will also be considered on a case by case basis. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.
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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.