Find out more about our Diagnostics, Data and Digital Health taught Master’s degree.

H1CA (MSc);

H1CD (PGDip);

H1CG (PGCert)

MSc/PGDip/PGCert

Full time: 1 year (MSc, PGDip, PGCert)

Part time: 2 years (MSc, PGDip, PGCert)

30 September 2024

Engineering

University of Warwick

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 material will cover requirements for product and technology development, including ethics and regulatory aspects, technical and commercial skills in medical imaging and diagnostics technologies in advancing 21-st century healthcare in the years to come. Optional modules allow the selection of complementary topics of particular interest to the student. A collaborative group research project, which parallels the way that diagnostics and imaging experts work in industry, will allow students to integrate their knowledge and understanding in order to solve a problem. Students will also complete an individual research project in their chosen area of specialism.

Contact Hours

The MSc degree (totalling 180 credits) comprises:

• Seven taught modules (15 credits each)
• A group research project (15 credits)
• An individual research project (60 credits)

The typical workload for a 15-credit module is as follows:

• 20-30 hours of lectures/seminars
• 5 hours of laboratory work
• 45 hours of private/directed study
• 70 hours of assessed work

The research project is valued at 60 credits and students should plan to execute around 600 hours of work towards the completion of the project dissertation.

Class Sizes

Class sizes for lectures, practical laboratory sessions and seminars vary depending on the number of students taking the module.

A combination of coursework and written examinations.

Your timetable

Your personalised timetable will be complete when you are registered for all modules, compulsory and optional, and you have been allocated to your lectures, seminars and other small group classes. Your compulsory modules will be registered for you and you will be able to choose your optional modules when you join us.

A minimum 2:1 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.

• Band A
• IELTS overall score of 6.5, minimum component scores not below 6.0.

There are no additional entry requirements for this course.

• 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 (ES97D)
• Image Analysis and Reconstruction

Students are able to choose one of the following optional modules:

• Public Engagement
• Design Thinking for Social Impact (IL925)
• Interdisciplinary Transferable Skills

Page updates

We have revised the information on this page since publication. See the edits we have made and content history.