Medical imaging is a rapidly-growing discipline within the healthcare sector, involving clinicians, physicists, computer scientists and those in IT industries.
This programme delivers the expertise you'll need to forge a career in medical imaging, including radiation physics, image processing, biology, computer vision, pattern recognition, artificial intelligence and machine learning.
This programme is studied full-time over 12 months and part-time over 48 months. It consists of eight taught modules and an extended project.
Example module listing
The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
To support your learning, we hold regular MSc group meetings where any aspect of the programme, technical or non-technical, can be discussed in an informal atmosphere. This allows you to raise any problems that you would like to have addressed and encourages peer-based learning and general group discussion.
We provide computing support with any specialised software required during the programme, for example, Matlab.
The Department’s student common room is also covered by the university’s open-access wireless network, which makes it a very popular location for individual and group work using laptops and mobile devices. There is also a Faculty quiet room for individual study.
We pride ourselves on the many opportunities that we provide to visit collaborating hospitals. These enable you to see first-hand demonstrations of medical imaging facilities and to benefit from lectures by professional practitioners.
To support material presented during the programme, you will also undertake a selection of ultrasound and radiation detection experiments, hosted by our sister MSc programme in Medical Physics.
The taught postgraduate Degree Programmes of the Department are intended both to assist with professional career development within the relevant industry and, for a small number of students, to serve as a precursor to academic research.
Our philosophy is to integrate the acquisition of core engineering and scientific knowledge with the development of key practical skills (where relevant).
To fulfil these objectives, the programme aims to:
Medical Imaging is a rapidly growing discipline within the healthcare sector, incorporating engineers, physicists, computer scientists and clinicians. It is driven by the recent rapid development of 3-D Medical Imaging Systems, fuelled by an exponential rise in computing power.
New methods have been developed for the acquisition, reconstruction, processing and display of digital medical-image data with unprecedented speed, resolution and contrast.
This programme in Medical Imaging is aimed at training graduates for careers in this exciting multi-disciplinary area, and our graduates can expect to find employment in the medical imaging industry or the public health care sector.
It represents a blend of fundamental medical physics topics concerned with image acquisition and reconstruction coupled with imaging science and image engineering topics such that graduates understand how images are formed and how advanced machine-based methods can be bought to bare to provide new diagnostic information.
We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.
In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.
The field of medical imaging is evolving rapidly, since diagnosis and treatment are increasingly supported by imaging procedures. The Medical Imaging Master’s programme combines elements from physics, mathematics, computer science, biomedical engineering, biology and clinical medicine. Master’s students will attain a high level of knowledge and skills in various areas of medical imaging, such as image acquisition physics, quantitative image analysis, computer-aided diagnosis, and image-guided interventions.
The programme is offered in close collaboration between the imaging divisions of the UMC Utrecht and Eindhoven University of Technology (TU/e). Two leading organizations at the forefront of health care and technology. This collaboration tops a solid technological basis with strong links to research performed in a clinical setting.
Are you a student with a clear interest in health care technology, a ‘beta-mindset’, a curiosity towards the natural sciences and medical imaging, and ambition in research? Do you have a background in natural or physical sciences, e.g. physics, mathematics, computer science or more applied technical sciences like biomedical engineering? This Master’s programme might just be a perfect fit.
Medical Imaging is an essential component of modern medicine, playing a key role in the diagnosis, treatment and monitoring of disease. The Medical Imaging MSc covers:
Whilst not a clinical skills course, the teaching of the technical aspects of imaging techniques is firmly grounded and in their clinical usage. Many of our lecturers are at the forefront of research in their field and bring insights from emerging imaging techniques.
This programme is designed for recent graduates preparing for a career in medical imaging, professionals already working in the field, and medical students wishing to intercalate.
You can study this subject at a MSc, Postgraduate Diploma or Postgraduate Certificate level.
You may transfer from your original programme to another one, provided that you do this before you have completed the programme and before an award has been made. Part-time study is also an option.
You’ll become familiar with the range of clinical imaging techniques.
By the end of the programme you should be able to:
Compulsory modules :
You’ll study modules worth 180 credits. If you study this programme part time you will study fewer modules in each year.
As an MSc student, you undertake a research project in the field of Medical Imaging. New research topics are available each year and include projects in MRI, Ultrasound, X-ray and their clinical application. 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.
All modules (except for your research project) are taught through traditional lectures, tutorials, practicals and computer based sessions. We also employ blended learning, combining online learning with other teaching methods.
You’ll be taught about the underpinning science of the various imaging modalities, and we cover a range of clinical applications demonstrating the use of medical imaging in modern medicine. Many of the lecturers are at the forefront of research in their particular field and will bring insights from current clinical imaging practice and developments of new and emerging imaging techniques.
The taught modules are assessed by coursework and unseen written examinations. Exams are held during the University exam periods in January and May.
The research project is assessed in separate stages, where you submit a 1,000-word essay (20%), a 5,000-word journal-style research article (70%) and make an oral presentation (10%).
Past graduates have gone on to enter careers in medical imaging or related disciplines, such as radiology and radiography. Often students are already working in the area, and use the skills and knowledge gained in the programme to enhance their careers. Students have gone on to take lecturer or research positions, and have also chosen to take post graduate research degrees (such as a PhD). As a intercalated degree for medical students the programme is useful for students considering radiology or many other medical specialties.
We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.
The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.
Diagnostic radiography and medical imaging are core components of modern healthcare and rely on rapidly changing diagnostic modalities. It is widely accepted that medical imaging will remain an essential component of diagnostic services for many years to come and that the demand for imaging services will continue to rise.
Recent modernisation within the NHS has raised the profile and extended the scope of practice for allied health professionals (AHPs). Diagnostic radiographers, as one of the sixteen registered AHP groups, are now required to build and extend their scope of professional expertise within a multi-professional setting. Continuing professional development (CPD) is a requirement for all AHPs in the UK in order to secure re-registration with the Health and Care Professions Council (HCPC) and to retain the right to practise within the UK. Radiographers are therefore required to evidence their learning and to demonstrate how this learning has informed practice.
Diagnostic radiography is a profession which is both intellectually and scientifically demanding. Professional responsibility includes a need to be able to formulate imaging standards and strategies as well as assume a greater degree of autonomy within different imaging modalities. To practise effectively the radiographer needs to be able to analyse and evaluate the requirements of healthcare delivery and to be aware of the roles and skills of other healthcare professionals. To optimise patient care the diagnostic radiographer must adopt a critical approach to decision-making in the context of current practice.
This MSc provides CPD opportunities for diagnostic radiographers and other healthcare professionals, but does not lead to UK registration with the HCPC or the right to practice within the UK. Therefore, this course aims to foster an intellectual approach to personal and professional development, encouraging diagnostic radiographers to challenge and progress radiography practice in response to evolutionary change. The course aims to provide flexibility in learning with the opportunity for learners to select modules in order to support individual practice development.
This course uses a wide range of learning and teaching methods, based on a problem based learning approach with students working independently and collaboratively. The teaching and learning strategies are designed to enable independent progress within a supportive framework.
The course is modular and offers a variety of attendance pathways for study: work-based learning; online and block attendance. A range of modules related to the development and progression of the Radiography profession can be used to form the course content.
To obtain a PgCert in any route, you will study 60 credits from the profession specific modules outlined below. To obtain a PgDip, you will study a further 60 credits taken from either profession specific modules or elective modules from the QMU Postgraduate Module Catalogue.
15 credits: Physics and Instrumentation of Ultrasound+/ Professional Issues Relating to Medical Imaging+
30 credits: General Medical Ultrasound in Clinical Practice*/ Obstetric Ultrasound in Clinical Practice*/ Breast Ultrasound in Clinical Practice*/ Musculoskeletal Ultrasound in Clinical Practice*/ Musculoskeletal Ultrasound in Clinical Practice for AHPs*
15 credits: Principles of Magnetic Resonance Imaging+/ Principles of Image Evaluation+
30 credits: Magnetic Resonance Imaging in Practice*/ Advanced Practice in Magnetic Resonance Imaging (negotiated study)
15 credits: Principles of Computed Tomography+ / Principles of Image Evaluation+ 30 credits: Advanced Practice in Computed Tomography of the Head*/ Computed Tomography in Practice (Head, Chest, Abdomen and Pelvis)*/ Advanced Practice in Computed Tomography Colonography*
15 credits: Pathophysiology for Musculoskeletal Image Evaluation+/ Principles of Image Evaluation+
30 credits: Clinical Reporting of the Axial and Appendicular Musculoskeletal System* A sample of relevant elective modules are:
15 credits: Epidemiology (distance)/ Developing Professional Practice*/ Leading Professional Practice+/ Practice Development for Person-centred Cultures+
30 credits: Current Developments (distance)/ Developing Professional Practice*
45 credits: Developing Professional Practice*
To obtain an MSc, you require:
30 credits: Research Methods (distance/ contact)
60 credits: Research Project (in an area relevant to medical imaging) (distance) Key: * attendance and work-based + Block/ day release
This qualification may enhance your career prospects within the allied health professions.
The International Master Program in Image Processing and Computer Vision provides specialized training in a field of increasing importance in our daily lives. It is essential in domains such as medicine, surveillance, industrial control, remote sensing, e-commerce and automation. The program covers a wide range of methods in computer vision thus guaranteeing highly-qualified graduates in this field. Three partner universities, with internationally recognized experience in these domains, have pooled their complementary expertise and developed this international postgraduate cooperation initiative.
The result is a high-quality, strongly recognized, triple Master degree that respects the 120 ECTS syllabus, and is well adapted to job market criteria. In order to benefit from the knowledge of these three partner universities and their professors, students spend an entire semester in each university.
All students follow the same curriculum with some optional courses. The program is organized as follows:
Semester 1: PPCU, Budapest, Hungary
Semester 2: UAM, Madrid, Spain
Semester 3: UBx, Bordeaux, France
Semester 4: Internship in academic or industry laboratory
After graduation, students have access to career opportunities such as engineers or further research as PhD students.
Their educational background makes them attractive candidates for companies in the following areas: E-commerce, Medical imaging, Personal assistance, Automation, Industrial control, Security, Post-production, Remote sensing, Software publishing.