Artificial Intelligence (with Placement) MSc

About the course

Reasons to study

  1. Exciting Career Prospects - 88.2% of our graduates from the School of Computing and Engineering were in work or further study 15 months after graduation*. 
  2. Latest knowledge - You will be taught by academic staff who have world-leading expertise in research that applies AI methods to solve key societal challenges, meaning you'll develop knowledge and skills that are current and highly relevant to industry. 
  3. Friendly and Diverse – Huddersfield is a great place to study, with friendly people and our dedicated and supportive tutors on hand during every step of your studies.  

*HESA Graduate Outcomes 19/20 

This course is specifically aimed at International students, supporting those wishing to gain practical work based experiential learning. Together with studying your chosen course we are offering you the opportunity to secure a placement* for an additional 6 months, making the course 18 months in length. This allows students with limited experience to put into practice the skills and techniques developed throughout the Master’s degree.

Increased use of Artificial Intelligence (AI) can bring major social and economic benefits to the UK. Skilled experts are needed to develop AI and they are in short supply. To develop more AI, the UK will need a larger workforce with deeper AI expertise.*

This course is designed to meet the demand for a new kind of IT specialist with skills and knowledge in intelligent systems.

Recent developments in machine learning and the success of high profile AI applications have resulted in governments globally promoting the area as a central component of future technologies in many application areas. This course will aim to develop your knowledge and understanding to an advanced level across a range of areas including:

  • autonomous systems
  • knowledge representation and reasoning
  • data mining
  • machine learning
  • robotics

Our aim is to 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, and be able to construct and configure solutions using a range of AI technologies.

gov.uk, 2017, Growing the artificial intelligence industry in the UK. Please see Placement Section for more details about this.

Entry requirements

Entry requirements for this course are normally:

  • A BSc or BEng Honours degree (2:1 or above) in Computing or Engineering or Scientific related subject or an equivalent professional qualification.
  • Applicants are expected to be familiar with and have some aptitude for Discrete Mathematics and Predicate Calculus.
  • Other qualifications and/or experience that demonstrate appropriate knowledge and skills at an Honours degree level - the qualification and experience should be in the area of Computer Science or Mathematics/Engineering.

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 7.0 overall with no element lower than 6.5, or equivalent. Read more about the University’s entry requirements for students outside of the UK on our Where are you from information pages.