University of Huddersfield · Full-time
Applied Artificial Intelligence
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 Intelli…
MSc1 yearFull-time
Browse computer science courses in UK
Department of Computer Science (CEI) · Computing
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 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 AI Master's programme in the UK that the Chartered Management Institute (CMI) has dual accredited, allowing you to earn 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
Getting in
As the university states it
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.
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