Artificial Intelligence MSc (Distance Learning)
Entry requirements
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. For applicants who received their degree more than 10 years ago, we will need evidence to demonstrate current knowledge in the subject area, such as reference letters, training certificates or significant relevant work experience.
- 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 or Duolingo English certificate, score 105 or above. Read more about the University’s entry requirements for students outside of the UK on our International Entry Requirements page.
Months of entry
February, May, September, November
Course content
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 £16.8bn.* 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 on our Artificial Intelligence MSc at The University of Huddersfield.
Why study Artificial Intelligence MSc (Distance Learning) at Huddersfield?
Demand for AI talent in this rapidly developing field is therefore high. At The University of Huddersfield, our MSc in Artificial Intelligence will equip you with the skills needed to contribute to the UK AI sector. 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.
Artificial Intelligence MSc is delivered 100% online on a part-time basis, giving you the flexibility to both study and work at the same time. At the University of Huddersfield, we don’t outsource any of our teaching which means you’ll learn from the same academic team as our on-campus students. Learn more about Distance Learning at Huddersfield.
*Forbes
Fees and funding
Please check our website for fee information
Qualification, course duration and attendance options
- MSc
- part time36 months
- Campus-based learningis available for this qualification
Course contact details
- dl-enquiry@hud.ac.uk
- Phone
- +44 (0)1484 422288