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Course summary

Explore the design, development and application of medical imaging and diagnostic techniques for the screening, detection, diagnosis and monitoring of diseases. Technological advances, increased expectations for medicine, longer life expectancy and legal, ethical and economic factors have led to a vast expansion in medical imaging and diagnostics. There is an increasing need for digital-based healthcare solutions to meet the changing needs and expectations of patients. Our MSc Diagnostics, Data and Digital Health will train students in the theory and practical implementation of cutting-edge diagnostic and imaging technologies and expose them to established, as well as emerging, applications using data science, artificial intelligence and machine learning. After graduation students will be well equipped for further study (PhD) in areas of critical scientific and technological importance, or for employment in a broad range of industries such as diagnostics and pharmaceutical industries, life science and clinical trials companies, health-tech SMEs, as well as research organisations. The MSc can be studied part-time over two years to suit those in employment. PG Diploma and Certificate options are also available for those who would like to take a subset of modules.


Core modules:

  • Modern Approaches to Diagnostics
  • AI and Machine Learning for Diagnostics
  • Operational Management and Clinical Systems Improvement
  • Computational Intelligence in Biomedical Engineering (ES97K)
  • Group Research Project
  • Research Project (Diagnostics, Data, Digital Health)
Optional Modules: Students are required to study one of the following two modules:
  • Translational Biomedical Research and Diagnostics
  • Medical Device: Design, Maintenance and Assessment (ES97F)
Students are required to study one of the following two modules:
  • Biomedical Imaging and Medical Devices (ES97D)
  • Image Analysis and Reconstruction
Students are able to choose one of the following optional modules:
  • Public Engagement
  • Design Thinking for Social Impact (IL925)
  • Introduction to Health Economics (for non-economists) (MD990)
- Interdisciplinary Transferable Skills

Entry requirements

A minimum 2:i undergraduate UK Honours degree or equivalent international qualification, in a physical sciences, life sciences, biological sciences, medical sciences, mathematics, computer sciences, engineering or another relevant subject. You can see how your current degree score or GPA equates to the British system in our Study pages in the Equivalent scores table. We are willing to consider applications from students with lower qualifications on a case-by-case basis, particularly when the applicant can evidence relevant employment, practical experience or strong performance in undergraduate modules related to their proposed postgraduate course of study. To ensure you have the essential foundations for the course, and depending on your overall academic profile, we may require you to take a mathematical skills test. English language requirements: This course requires the following: Band A IELTS overall score of 6.5, minimum component scores not below 6.0.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Diagnostics, Data and Digital Health at University of Warwick - UCAS