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Health Data in Practice at Queen Mary University of London - UCAS

Course options

2025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

This course is subject to validation. You can still apply for this course while it is being approved.

Course summary

Unlock the power of data to transform healthcare with our MSc or Postgraduate Diploma Health Data in Practice. Prepare for leadership or strategic positions in the NHS or wider public and private sector organisations. Focus on the practical implementation of health data in clinical settings, applications to health inequalities and quality improvement, and implications for public health and policy.

  • Develop the health data skills and experience needed by employers in the NHS and wider health related organisations
  • Benefit from our unique interdisciplinary strengths to develop a holistic understanding of health data in practice
  • Undertake a research dissertation, supervised by one of our expert faculty
  • Choose from full-time and part-time options to fit your needs and career goals, or opt for our shorter Postgraduate Diploma
The MSc/PGDip Health Data in Practice offers a cutting-edge, human-centred approach to health and care data, equipping you with the tools and insights needed to drive innovation in real-world setting. Immerse yourself in an interdisciplinary curriculum that integrates statistics, epidemiology, health informatics, health inequalities, and qualitative research methods, allowing you to harness multidisciplinary approaches to design impactful study and inform critical decision-making. Through this programme, you will gain a comprehensive foundation in quantitative analysis, qualitative methods, the context and provenance of health data, and practical data management, preparing you to solve the most pressing health data challenges. You’ll also develop critical professional competencies, including analytical thinking, problem-solving, and clear communication - skills that are essential for thriving in the fast-evolving field of health data science. Teaching from our expert faculty will ensure that you experience a holistic education that fuses key disciplines, empowering you to use data-driven insights to revolutionise healthcare outcomes. Our Health Data in Practice programme will train a new generation of leaders in the health data fields, prepared to make significant contributions in the NHS, public and private sectors. Join us and be at the forefront of transforming healthcare through data science.

Modules

Please see websit for up-to-date modules information.

Assessment method

Assessment takes a number of different forms including coursework essays, assignments and presentations, and examinations. You will need to achieve an overall pass in the taught element in order to progress to your dissertation, if you are studying the MSc.

Entry requirements

A 2:1 or above at undergraduate level in a relevant subject, such as statistics, computer sciences, mathematics, bioinformatics, biomedical sciences, epidemiology, public health. Applicants with a 2:2 degree and relevant experience in the field will be considered on an individual basis.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Students enrolling on a postgraduate degree programme are charged tuition fees each year by Queen Mary. The rate you will be charged depends on whether you are assessed as a Home/EU or Overseas student. You can find tuition fees for each course on the course finder pages on our website by clicking the apply link, or navigate here: https://www.qmul.ac.uk/postgraduate/ Further details about postgraduate taught tuition fees can also be found on our website: https://www.qmul.ac.uk/postgraduate/taught/tuitionfees/
Health Data in Practice at Queen Mary University of London - UCAS