Applied Artificial Intelligence MSc

Entry requirements for this course are normally:

• A BSc, BEng or BA Honours degree (2:2 or above) or equivalent professional qualification in any subject.
• Other appropriate professional qualifications and/or experience will be considered on an individual basis.

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum of IELTS 6.0 overall with no element lower than 5.5, or equivalent. Read more about the University’s entry requirements for students outside of the UK on our International Entry Requirements page. If you have alternative qualifications or do not meet the IELTS requirement we also offer a range of Pre-Sessional English Programmes.

In 2024, Artificial Intelligence (AI) adoption surged to 72% among organisations, a significant rise from previous years*. For those eager to learn the foundations and stay ahead in this dynamic field, the University of Huddersfield’s Applied Artificial Intelligence MSc offers an ideal opportunity.

Why Study Applied Artificial Intelligence MSc (Distance Learning) at Huddersfield?

Open to graduates of any discipline, this conversion course uniquely offers you the opportunity to learn both applied technical skills and strategic management, preparing you for roles that manage data and oversee strategic change in organisations as they adopt AI.

This is the first Applied AI Master's in the UK to include Chartered Management Institute (CMI) accredited content, allowing you to earn credits for a CMI Level 7 Award in Strategic Management and Leadership Practice.

The course aims to equip you with an understanding of data-driven approaches to implementing intelligent behaviour in machines. You’ll develop your knowledge and skills in:

• Machine learning
• Robotics
• Autonomous intelligent systems
• Data mining
• Strategic management of data
• Change and project management

You’ll also learn to critically evaluate existing and emerging Artificial Intelligence technology.

You’ll be taught by international experts in the field of AI. Our academic staff are active in exciting and pioneering research, applying AI methods to address societal changes in healthcare, transportation, smart cities and supply chains. Our research expertise spans the whole spectrum of modern AI, from automated planning and knowledge representation and reasoning, to statistical and data-driven AI, machine learning, deep learning and generative AI.

*www.mckinsey.com