Artificial Intelligence and Medical Imaging MSc

The MSc Artificial Intelligence and Medical Imaging at UCL trains students to apply machine learning, deep learning and advanced imaging methods to medical data for diagnosis, analysis and clinical decision support. It suits students from computing, engineering, physics or related backgrounds who want to work at the intersection of AI and healthcare imaging.

Curriculum Structure:
Students begin with Programming Foundations for Medical Image Analysis and Medical Imaging, gaining skills in imaging modalities, image processing and computational workflows. They then move into Machine Learning in Medical Imaging and Applied Deep Learning, where they learn to build models for tasks such as segmentation, detection and clinical prediction. Optional modules like Information Processing in Medical Imaging or Biomedical Ultrasound/MRI allow deeper study of imaging technologies. The degree concludes with an MSc Research Project, applying AI and imaging methods to a real medical or clinical problem.

Focus areas: “AI for Medical Imaging, Deep Learning, Image Processing, Clinical Diagnostics, Biomedical Data Analysis”

Learning outcomes: “Analyse medical images; apply ML/DL models to clinical data; understand imaging systems; build AI-based diagnostic tools; complete independent imaging research.”

Professional alignment (accreditation): Designed to meet demand in MedTech, clinical imaging, healthcare AI, biomedical research and hospital technology teams.

Reputation (employability rankings): UCL’s global standing in medicine, engineering and AI ensures strong graduate prospects across clinical research, medical imaging, and health-technology sectors.