Applied AI for Medical Imaging The University of Manchester

Overview

Healthcare is being transformed by the combination of AI and medical imaging, enabling new ways of understanding how the body works, diagnosing disease and monitoring treatment. The Applied AI for Medical Imaging programme offered at The University of Manchester will equip you to drive innovation in this exciting field.

You will learn how to develop state-of-the-art methods for extracting information from medical images, built on a thorough understanding of how images are acquired using a variety of different modalities, such as MR, CT and PET. You will discover how images are used to inform models of the human body and in simulation as part of in silico (computer-based) imaging trials.

The curriculum integrates cutting-edge AI and machine learning (ML) with core principles of image science. Through hands-on training and strong theoretical foundations, you will learn to create novel imaging solutions, enhance diagnostic accuracy and support clinical decision-making.

Career opportunities

Graduates of this MSc will be well-equipped for diverse career pathways at the intersection of AI, imaging science and healthcare innovation.

You may decide to pursue a career in:

• Academia: You may choose to continue your academic journey through PhD study, contributing to leading projects in medical imaging, digital health and personalised medicine. Alternatively, you can pursue a role as a research scientist within universities, hospitals or specialist research institutes, where expertise in imaging and AI is increasingly in demand.

• Clinical and healthcare careers: You may work as an AI or imaging specialist within healthcare systems such as the NHS, or take on clinical scientist roles in radiology, pathology or digital diagnostics. Your training in advanced machine learning and decision-support systems will equip you to contribute directly to the development and deployment of AI-enabled clinical tools.

• Industry: Our graduates are much sought after, taking up positions in health technology companies, biotech and pharmaceutical firms, and medical device manufacturers, where they may contribute to innovations in imaging systems, digital health platforms, or AI-powered diagnostics. Manchester’s strong links with industry and the NHS further enhance these prospects, providing you with valuable real-world experience during your studies

• Policy, consultancy or regulation: For those interested in shaping the broader landscape of healthcare, your understanding of AI ethics, safety, and clinical translation will enable you to contribute to digital transformation strategies, advise regulatory agencies, and ensure the responsible adoption of emerging technologies.