Artificial Intelligence Engineering

Course Overview

If you want to go beyond theory and learn how to build and deploy AI systems in real-world environments, our MSc Artificial Intelligence (AI) Engineering will equip you with the skills to design, develop and manage intelligent technologies at scale. This programme focuses on the practical engineering of AI systems, combining core knowledge of artificial intelligence with the skills needed to implement, deploy and maintain AI solutions. You will explore how AI is used in real-world contexts, and develop an understanding of how to design reliable, scalable and responsible systems. You will gain experience in areas such as machine learning, cloud-based AI, and the integration of AI into software systems. The programme also introduces emerging approaches such as agentic systems and prompt and context engineering, alongside an understanding of governance, ethics and responsible AI practice. As you progress, you will develop your ability to work across the full lifecycle of AI systems, from design and development through to deployment and evaluation. You will apply your knowledge to practical challenges, preparing you for roles in industries where AI is increasingly embedded in products, services and infrastructure. The programme prepares you for careers in AI engineering, machine learning engineering and related roles, as well as further study or research in artificial intelligence and computing.

Tuition Fees & Funding

Fees shown are for current entry. Fees may increase annually in line with inflation.

Graduate Outcomes

Frequently Asked Questions