MSc Medical Statistics and Health Data Science

Overview

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

An upper second-class honours degree or international equivalent in a subject with a strong quantitative element. Including, but not limited to, degrees in: Mathematics, Statistics, Physics, Computer Science, Operational Research, Electrical and electronic engineering, Economics, Accounting, Aerospace Engineering, Data Science, Computing, Operations Research, Econometrics, Astro Physics, Mechanical Engineering, Aeronautical Engineering, Systems Engineering, Electronic Engineering, Electrical Engineering, Nuclear Engineering. Joint-honours involving those degree topics (e.g. ‘Physics and French” or “Economics and History” are also acceptable.)