Teaching and assessment for Medical Imaging and AI MSc

This module explores the structure, organisation, and function of the human body

Look into the ethical, societal, and regulatory dimensions of artificial intelligence. You will examine how AI systems impact privacy, fairness, and accountability, and how governance frameworks shape their development and use.

You’ll evaluate performance, scalability, and ethical implications, developing the skills to deliver tailored AI solutions, assess their impact, and communicate results effectively.

This module covers neural networks and deep learning architectures, teaching you to use and adapt pre-trained models with frameworks. You’ll apply transfer learning to real datasets, optimise model performance, and communicate technical results effectively.

Biomaterials are substances that have been engineered to interact with biological systems for a medical purpose.

This module covers the basics of biomaterials, their applications in tissue engineering, and their interaction and compatibility with biological systems during tissue regeneration.

This Masters module will provide you with an understanding of the computational and mathematical methods used in medical image processing. We will use a variety of radiological diagnostic scenarios and applications, and you will apply the methods learned.

This is essential for those interested in medical imaging and healthcare.