MSc Artificial Intelligence (with Placement)

About the course

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 an additional 6 month placement opportunity, 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.

Career support

We know you’re coming to university to study on your chosen subject, meet new people and broaden your horizons. However, we also help you to focus on life after you have graduated to ensure that your hard work pays off and you achieve your ambition.

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£17,000 Per Year

International student tuition fee

1 Year 6 Months

Duration

Sep 2024

Start Month

Aug 2024

Application Deadline

Upcoming Intakes

  • September 2024

Mode of Study

  • Full Time