Medical Statistics and Health Data Science University of Bristol

Overview

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.

Key facts

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.

With our Medical Statistics and Health Data Science programme from University of Bristol 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.

Career prospects

You will gain the knowledge and skills for careers in a wide range of professional settings including universities, the pharmaceutical industry, central government, national health services, and other private and public organisations collecting and analysing health data.

There is great demand for well-trained medical statisticians and health data scientists in today's job market. You will be well placed to apply for a PhD in population health. The MSc prepares you for a career which could develop into leadership roles, such as academics (lecturers, professors), or directors of research in the private or the public sector.