University withheld until you unlockunlock below to reveal · Full-time
Artificial Intelligence
This programme engages with all aspects of AI, from its fundamentals to the cutting-edge techniques revolutionising how we live, learn, work and socialise, to open up career opportunities in this dynamic, fast-moving field. The MSc Artificial Intelligence cove…
MSc1 yearFull-time
Browse computer science courses in UK
School of Natural and Computing Sciences · Computing
This programme engages with all aspects of AI, from its fundamentals to the cutting-edge techniques revolutionising how we live, learn, work and socialise, to open up career opportunities in this dynamic, fast-moving field. The MSc Artificial Intelligence covers the theoretical underpinning of a wide variety of AI-related techniques including data and text mining, machine learning, reasoning, natural language generation, knowledge representation, and distributed AI systems as well as the technology, techniques, tools, software and methodologies used to apply these underlying theories to real-world problems. You will learn how to engineer and evaluate AI systems and also engage in debates around the legal and ethical issues involved in the ethics of AI technology. The programme culminates with a research project, which you will undertake under the supervision of a member of staff and can also be undertaken with an external company or organisation. Typical projects include extending, improving or adapting existing AI theories or techniques to solve different problems or comparing competing techniques or tools to solve a particular problem. The skills and knowledge you will learn on this programme is shaped by the latest research in AI. — University of — has over 30 years’ of experience, and a worldwide reputation in AI-related research, focusing on areas such as machine learning, data science, natural language generation, and multi-agent systems. Data and AI is one of five interdisciplinary research priorities for the University of — and the department has strong links with the University's Centre for Data and Artificial Intelligence. Spin-out successes from the University of — include ARRIA NLG, one of the world’s leading natural language generation companies. Our close industry links mean you will have opportunities to apply your skills through training and networking events and industrial placements organised through organisations such as the Data Lab, Intel AI Academy, IBM, Intelligent Plant, and — City Council.
Getting in
As the university states it
Our minimum entry requirement for this programme is a Computing Science degree at 2:2 (lower second class) UK Honours level (or an Honours degree from a non-UK institution which is judged by the University to be of equivalent worth). Key subjects you must have covered: Python, Algorithmic problem solving and Data Structures. Programming experience in other languages, such as Java, C and C++, is recommended - but not required - to follow the courses taught in this programme. Applicants with a 2:2 or equivalent in Engineering (e.g. Electronic/Electrical Engineering) will be reviewed by the selectors for suitability on a case-by-case basis.
Worth reading next
Bachelor's in Computer Science: The Complete Guide
A complete guide to Computer Science degrees — what you study, entry requirements, real graduate outcomes, cos…
Studying in the UK: The Complete Guide for International Students
A complete guide to studying in the UK — universities, costs, the Student visa, scholarships and the Graduate…
Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.