University of Huddersfield - MSc Artificial Intelligence

University of Huddersfield

MSc Artificial Intelligence

The UK's AI sector has experienced significant growth in the last decade, with the sector worth over £15.6bn and employing over 35,000 people. The demand for AI talent in techniques like machine learning is increasing, and the University of Huddersfield offers an Artificial Intelligence MSc to contribute to this growth. The course aims to develop knowledge across machine learning, data mining, robotics, knowledge graphs, and autonomous systems. The university's research expertise spans the spectrum of modern AI, from automated planning to machine learning, deep learning, and generative AI. The course is fully accredited by the British Computer Society and offers part-time distance learning.

Entry Requirements

BSc or BEng Honours degree in Computing or Engineering or related subject.

Other relevant qualifications and/or experience.

IELTS minimum of 6.0 overall with no element lower than 5.5 or equivalent.

Career Prospects

We would expect to see graduates progress to careers as Robotics Programmer, Machine Learning Engineer, Data Mining Analyst or Software Engineer for example. You could also go on to further study and the University has many options available for postgraduate research which may interest you.

Percentage of graduates from the School of Computing and Engineering who are in work and/or further study fifteen months after graduating (HESA Graduate Outcomes 19/20, UK domiciled graduates)

Course Details

Modules

Machine Learning
Data Mining
Robotics
Knowledge Representation and Reasoning
Autonomous and Autonomic Intelligent Systems
Case Studies in Data Analytics and Artificial Intelligence
Effective Research and Professional Practice
Artificial Intelligence Planning
Individual Project

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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