Artificial Intelligence MSc

Entry requirements for this course are normally:

• A BSc or BEng Honours degree (2:2 or above) in Computing or Engineering or related subject or an equivalent professional qualification
• Other qualifications and/or experience that demonstrate appropriate knowledge and skills at an Honours degree level

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 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.

In the UK, we have seen a huge expansion in artificial intelligence (AI) during the last decade, showcasing that the country’s economy is aiming to use intelligent technologies to position itself at the forefront of the digital revolution.

Data shows that the AI sector is worth over £15.6bn and employs more than 35,000 people.* This means that AI has rapidly become a medium-sized sector in the UK and has the potential to participate in other sectors' growth.

You could contribute to this growth by enrolling onto our Artificial Intelligence MSc at The University of Huddersfield.

Why study Artificial Intelligence MSc at Huddersfield?

Demand for AI talent in AI techniques, such as machine learning, is increasing rapidly.

There is a need to ensure the skills pipeline can meet the needs of industry now and in the future. This course aims to develop your knowledge and understanding to an advanced level across a range of areas, including:

• Machine learning
• Data Mining
• Robotics
• Knowledge graphs
• Autonomous Systems

We will equip you with an understanding of the fundamental approaches to implementing intelligent behaviour in machines. This should then enable you to match applications with appropriate AI techniques for their solution. You will also be able to construct and configure solutions using a range of AI technologies.

Research plays an important role in informing all our teaching and learning activities. Many of our academics are members of the University's Centre for Autonomous and Intelligent Systems and are at the forefront of impactful research. Our research expertise spans the whole spectrum of modern AI, from automated planning and knowledge representation and reasoning, to machine learning, deep learning and generative AI. We apply this expertise to solve key societal challenges related to healthcare, transportation and resilience.

This course is fully accredited by the British Computer Society (BCS), the Chartered Institute for IT, and by completing it, you will have partially fulfilled the academic requirements for registration as a Chartered IT Professional and Chartered Engineer.

The University is nestled within the heart of Huddersfield, a warm and welcoming town, known for its friendly atmosphere and diverse community. When you’re not studying, you can enjoy an array of exciting activities and experiences. From cultural events and charming cafes to stunning scenery and fantastic transport links, there’s plenty to do in and around the town centre.

We also offer this course as a part-time Distance Learning route.

*thedatacity.com