The MSc in Medical Statistics and 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 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 electronic datasets related to human health and healthcare. Data science combines mathematics, statistics and programming tools 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 data science (including causal inference, machine learning and data mining). Teaching will focus on building strong quantitative and computational skills, and effective interpretation and communication of research findings. All 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 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 spanning the design of randomised trials, statistical
methods and data science approaches, you will benefit from this
established expertise as a student on the MSc.