Medical imaging plays an essential role in modern medicine, supporting the diagnosis, treatment and monitoring of disease. Technology is quickly and continuously evolving, and so are the exciting and rewarding careers in this field.
At Leeds, you will delve into the science and technology behind medical imaging techniques. This includes how images are captured, processed, displayed, stored and analysed. You will build your skills and applied knowledge around medical imaging to suit your career path.
Whether you are a recent graduate, a medical student wishing to intercalate, or a healthcare professional, our course will introduce you to:
- Scientific principles behind the different imaging modalities,
- Specialist clinical applications in radiology,
- Artificial intelligence (AI) and other technological advances in imaging,
- Current issues in a modern radiology department.
A distinctive feature of this programme is the Leadership in Healthcare module, delivered by Leeds University Business School. This module enables you to view radiography services through a business lens, equipping you with the strategic insight and leadership skills essential for driving innovation and leading effectively within healthcare settings.
You will also gain research experience and learn from internationally recognised researchers and experts working in radiography, sonography, mammography, medical physics, computer science, and epidemiology as well as medical industry and business representatives.
- Tailor your degree – this course is unique in that it can be tailored to your own professional interests. You can choose to learn the science behind several imaging modalities or focus on one or two with applied or complimentary skills such as leadership and patient-centred care, clinical image interpretation, or artificial intelligence.
- Advanced in-house X-ray and CT simulation tools – you will have access to advanced in-house X-ray and CT simulation tools, developed by our expert researchers. These interactive tools let you explore how medical images are formed—giving you a deep understanding of imaging science in a safe, radiation-free environment. It’s a unique opportunity to build practical skills and confidence before working with real clinical equipment.
- World-Class Imaging Expertise - you will benefit from internationally recognised expertise in medical imaging education and research. With a legacy of innovation—including the first vascular 3D image reconstruction and pioneering work in mammography display, image quality testing, digital X-ray detectors, and cardiac MRI—our teaching is led by researchers who have shaped the field.
- Intelligent Imaging: AI in Practice - explore core AI principles and real-world applications across imaging modalities. Learn to critically evaluate the benefits, risks, and biases of AI tools, preparing you to make informed decisions in clinical practice.
- Research Meets Real-World Impact - learn from world-class academics driving cutting-edge research with global leaders like Siemens, Fuji, Philips, AstraZeneca, Pfizer, and Thales Angénieux. Their work is backed by major funders including the EU, Cancer Research UK, British Heart Foundation, and Breast Cancer Now - giving you direct insight into real-world innovation.
- Leadership for Imaging Professionals - a highlight of this programme is the Leadership in Healthcare module, delivered by Leeds University Business School. It equips you with strategic and business-focused leadership skills to drive innovation and lead radiography services effectively within healthcare settings.
This course is also available to study as a Post Graduate Certificate.
Should you already have a postgraduate certificate in this field, some of your completed modules may be approved as credit toward completion of this MSc. Please get in touch with Admissions if you are interested in using this APEL process. You may transfer
from your original programme to an alternative, providing you do this before you have completed the programme and before an award has been made. This course is also available as a intercalated MSc course for MBChB students, designed to provide a solid grounding in the science behind different imaging techniques. This will enhance your imaging knowledge in preparation for your career in medicine. Students wanting to intercalate after year 3 of the MBChB in Leeds should undertake their medical elective in the summer before starting the MSc to avoid clashes with the MSc research project and their elective.
Design a personalised pathway aligned with your interests and career ambitions - Choose from a wide range of modules across three key themes:
- Understanding Imaging Technology - Explore how imaging modalities work, including AI, X-ray, CT, MRI, and Ultrasound.
- Clinical Applications in Radiology - Focus on patient care and clinical practice through modules like Person-Centred Care and Principles for Medical Image Interpretation.
- Advancing Your Career - Build essential skills in image interpretation, programming, leadership, and research through core and optional modules.
Full-time students study 180 credits.
As an MSc student, you'll undertake a research project in the field of medical imaging. New research topics are available each year and you'll be asked to state your preferred research project. Before projects are allocated, you are encouraged to meet potential supervisors and discuss the research work.
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
Candidates will be required to study the following compulsory modules:
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| MEDP5330M | Research Project | 60 | 1 Oct to 30 Sep (12mth) | PFP |
| MEDP5340M | Fundamental Skills in Medical Imaging | 15 | Semester 1 (Sep to Jan) | PFP |
| MEDP5344M | Quantitative Research Methods | 15 | Semester 2 (Jan to Jun) |
Candidates must study at least 30 and up to 60 credits from the following modules.
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| MEDP5312M | Magnetic Resonance Imaging | 15 | Semester 1 (Sep to Jan) | |
| MEDP5314M | Ultrasound Imaging | 15 | Semester 2 (Jan to Jun) | |
| MEDP5331M | Medical X-ray Imaging | 15 | Semester 1 (Sep to Jan) | |
| MEDP5332M | X-ray Computed Tomography | 15 | Semester 2 (Jan to Jun) |
Candidates will be required to study up to 60 credits from the following optional modules:
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| ARCS5261M | Principles for Medical Imaging Interpretation | 15 | Semester 1 (Sep to Jan) | |
| ARCS5301M | Person-Centred Care | 15 | Semester 1 (Sep to Jan) | |
| MEDP5341M | Artificial Intelligence principles and practice in Healthcare | 15 | Semester 2 (Jan to Jun) | |
| MEDP5343M | Introduction to leadership and organisational behaviour | 15 | Semester 2 (Jan to Jun) |
It is recommended that students complete 60 credits on both semester 1 and semester 2, in order balance studies across the year. The 60 credit research project planning begins in semester 2, with actual research taking place in semester 3.
Last updated: 10/06/2026 12:54:48
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