Program Overview

MSt in Healthcare Data Science

The MSt in Healthcare Data Science course is designed to empower learners by integrating scientific principles with a comprehensive range of behavioural, managerial, and technical skills. The goal is to cultivate highly competitive professionals capable of playing effective roles in health data science projects.

Course Details

• Course fee:
  • Home: ｣20,592
  • Overseas: ｣41,184
• Credits: 180
• Study mode: Hybrid (in person and online)
• Application Deadline: 28 May 2026
• Location: Various Locations
• Course code: MDM15
• Course type: Master's degrees

Tutors

• Dr Emma English: Associate Teaching Professor, University of Cambridge Professional and Continuing Education
• Dr Fatemeh Torabi: Assistant Professor of Health Data Science

Course Overview

The programme has been developed by a multidisciplinary team of academics and researchers from University of Cambridge Professional and Continuing Education (PACE), Cambridge University Hospital, and the School of Clinical Medicine. It is taught part-time and is designed to be flexible and accessible to working healthcare professionals.

Who is the Course Designed For?

The MSt in Healthcare Data Science is designed for professionals and aspiring leaders who want to advance their careers at the interface of health and data science. It is particularly suitable for:

• Healthcare professionals who would like to enhance their technical, coding, and data science skills
• Data scientists, statisticians, and computational scientists seeking to specialise in healthcare applications
• Researchers and academics in medicine, biomedical sciences, or related fields who want to strengthen their quantitative and technical skills
• Policy makers, managers, and professionals in health organisations who require a robust understanding of health data analytics
• Industry professionals looking to bridge scientific, technical, and healthcare knowledge

Aims of the Programme

The course will:

• Provide teaching and learning opportunities to gain the knowledge and skills that underpin and are at the forefront of the successful implementation of an advanced health-focused data science project
• Equip learners with current data science tools and techniques to manage and analyse large datasets across healthcare systems
• Advance learners programming and analytical skills for performing meaningful and reproducible analysis
• Develop, create, and upskill healthcare data experts with the necessary expertise and originality of application
• Promote a comprehensive understanding of the practical and ethical considerations relevant to health data, informatics, and innovation
• Provide work-relevant learning opportunities and practical expertise in the context of a critical awareness of current problems, best-practice, challenges, and potential solutions in the use of health data

Entry Requirements

We welcome applications from students with a variety of backgrounds and experiences. As part of our admissions process, youll need to meet certain requirements and make sure youre able to attend teaching sessions in the UK.

• Standard entry requirements: Typically, we expect a good UK undergraduate degree, such as a 2.1, or international equivalent.
• English language requirements: Our courses are taught in English and require a good level of fluency.
• Visa information: We welcome applications from international students.

Teaching and Assessment

The MSt Healthcare Data Science is a part-time Master's course designed to fit with the demands of full-time employment. The course is delivered through a combination of in-person sessions requiring attendance in Cambridge, plus self-directed learning supported through a Virtual Learning Environment (VLE).

• Modules:
  • Module 1: Data-driven Decision-making
  • Module 2: Principles of Health Data Science
  • Module 3: Health Data Science II
  • Module 4: Data Visualisation
  • Module 5: Machine Learning
  • Module 6: Databases
  • Module 7: Data Analysis and Inference
  • Module 8: Advanced Statistical Methods
  • Module 9: Research Dissertation
• Supervision: Each learner will be assigned a dissertation supervisor who will be experienced in the area and/or methodology being studied as part of the dissertation.
• Assessment: Each module requires the submission of a piece of summatively assessed work, with the exception of the research dissertation.

Fees and Funding

• Fees: The total fees for this course are ｣20,592 for home students and ｣41,184 for overseas students.
• Funding: We're dedicated to reducing and removing financial barriers to learning. Visit our website to find out what options may be available to help you in your studies.

How to Apply

Applications will be considered on a rolling basis. Should the course become full, we reserve the right to close for applications early.

• Application deadline: 28 May 2026
• Supporting documents:
  • CV
  • Qualifications and transcripts
  • References
  • Capstone assessment (for students continuing from the EdX Micromasters)

College Membership

As an MSt student, you'll become a member of a Cambridge College. For the MSt in Healthcare Data Science, the cohort will go to Wolfson College.

Student Support

We're committed to supporting you in your learning journey, and we offer a variety of support opportunities to meet individual needs.