Applied Artificial Intelligence

Artificial intelligence is no longer a specialised research field: it is reshaping every industry, from healthcare and finance to transport, education, and the creative sectors. Applied AI focuses not on AI as a theoretical discipline but on deploying it in real-world contexts, which requires a combination of technical understanding, critical awareness of how AI systems behave in practice, and the capacity to translate between technical possibility and genuine organisational need. This is a degree for people who want to build and use AI systems, not just study them.

At Queen Mary, University of London, this programme is designed to ensure your skills keep you at the forefront of a rapidly evolving field. You will study the mathematical and computational foundations of machine learning and AI, including probability, linear algebra, and algorithms, alongside the practical skills of building and evaluating AI applications. You will engage with the ethical, social, and regulatory dimensions of AI deployment, developing the critical perspective that responsible AI practice demands.

The programme is studied full-time over three years, with a typical entry tariff of 152 points.

Graduates of applied artificial intelligence programmes are well placed for careers in data science, machine learning engineering, AI product development, technology consultancy, and research. The breadth of AI's penetration across sectors means that applied AI graduates are sought after in finance, healthcare, media, logistics, government, and beyond. Many graduates go on to postgraduate study in machine learning, data science, or computer science, or move directly into industry roles where the ability to build and deploy AI systems is in high demand across the economy.