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Institute of Continuing Education (ICE)


The deadline for booking a place on this course has passed. Please use the 'Ask a Question' button to register your interest in future or similar courses.

The MSt (flexible) in Healthcare Data: Informatics, Innovation and Commercialization is only open to those who have successfully completed and passed the Postgraduate Diploma (flexible) Healthcare Data: Informatics, Innovation and Commercialization at Cambridge.

This is a 10 month, part-time Master’s-level course resulting in 60 FHEQ Level-7 credits and the University of Cambridge Masters award.

Cambridge is a world leading centre for innovation in electronic patient and clinical trial data. This is underpinned by an extensive and vibrant community of clinicians, researchers, entrepreneurs, and commercial and public sector organisations. There is a recognised shortage of the appropriate technical and practical skills in the workforce to effectively utilise the opportunities presented by healthcare data.

This course has been designed to meet the skills gap in the management, handling and utilisation of healthcare data and to develop individuals confident in using healthcare date for innovative and/or commercial applications.


Course delivery: We plan to deliver our postgraduate and MSt qualifications in-person in the academic year 2022-23. Please note that this will be reviewed in line with the latest public health guidance available at the time. If required, to ensure the health and safety of students, we may look to utilise alternative teaching formats and will contact students if we expect changes to the course delivery.


Unit Details

Course Units and Teaching Weeks

Please note that dates are provisional and may be subject to change.

Unit 6: Research Dissertation (60 credits)

The research dissertation is a piece of independent work of between 10,000 – 12,000 words completed during the second year of the course. It consists of two main elements:
•    A literature review of an area of interest and applicability to the student’s professional life. 
•    A health data science component where knowledge and expertise derived from learning on the course is demonstrated using a real patient dataset.
Within the dissertation you will engage critically with a field of applied data science relevant to your professional life and demonstrate the practical knowledge you have learnt through the programme. You will be provided with a large, rich and detailed synthetic dataset derived from the Epic electronic patient record system at Cambridge University Hospitals in order to complete the health data science component.

Teaching dates for the MSt (Flexible) Healthcare Data 

  • Wednesday 12th October 2022 (Madingley Hall)
  • Thursday 13th October 2022 (Madingley Hall)
  • Thursday 26th January 2023 (Madingley Hall)
  • Friday 27th January 2023 (Madingley Hall)

Important note: Please be aware that the teaching dates for this course are currently provisional. Whilst we do our utmost to keep to the dates and venues detailed above, these may be subject to change.

Venues for Teaching Weeks

Madingley Hall

Course dates

01 Nov 2022 to 31 Jul 2023

Course duration

1 Years

Apply by

31 Oct 2022

Course fee

Home: £5,301
Overseas: £9,501

Course director

Academic Directors, Course Directors and Tutors are subject to change, when necessary.


Qualifications / Credits

60 credits at Master of Studies

Teaching sessions

Meetings: 4

Course code