Skip navigation

Medical Statistics and Health Data Science (Taught)

Course details
  • 2 Study options
  • Postgraduate
Course location
Clifton Campus

Course summary

The MSc in Medical Statistics and Health Data Science will enable you to engage with the complex statistical and data science healthcare challenges facing the global community, providing high-quality training in statistical and computational methods that are applicable to low-, middle- and high-income settings.

As a medical statistician or health data scientist you will play a vital role in improving the health of populations by conducting statistical research (such as designing clinical trials and epidemiological studies, analysing data and interpreting results) to advance medical knowledge, track or prevent diseases, and improve medications and treatments.

Challenges have arisen over the last decade in the increasing availability of enormous datasets related to human health and healthcare. Health data science combines expertise in epidemiology and statistics with programming skills to enable analysis of these very large and diverse datasets.

You will be trained in the theory and practice of cutting-edge methods in medical statistics and health data science (for example: causal inference, advanced regression models, infectious disease data analysis and machine learning). Teaching will focus on building strong quantitative and computational skills, and effective interpretation and communication of research findings. Concepts, skills and tools are illustrated using real-life case studies and health-related data. You will gain professional skills such as teamwork, presentation skills, and writing for publication – essential for a successful medical statistician and health data scientist.

Population Health Sciences is a leading centre for research, with numerous opportunities for PhD study and employment on research projects. Internationally recognised for excellence in the development and dissemination of research methodology such as methods for randomised trials and causal inference. You will benefit from this established expertise as a student on the MSc.

This MSc has Royal Statistical Society (RSS) accreditation reflecting the high-quality teaching, learning and assessment within the programme.

How to apply

Fees and funding

Choose a specific option to see funding information.

Course options

Sponsorship information

HDR UK offer scholarships for home students. Find more information on the HDR UK website.

The University of Bristol Opportunity Bristol scheme offers scholarships (fees and living costs) for UK nationals with home fee status from Black backgrounds.

NIHR pre-doctoral fellowships offer up to two years funding including salary and tuition fees.

Further information on funding for prospective UK and international postgraduate students: https://www.bristol.ac.uk/students/support/finances/

Like this page