Population Health Sciences

Population health sciences is the study of the health of human populations rather than individuals, examining why some communities are healthier than others, what social, environmental, and biological factors drive patterns of disease, and how health systems and public health interventions can reduce inequalities and improve outcomes at scale. The discipline draws on epidemiology, statistics, public health, sociology, economics, and health policy, and it provides the scientific foundation for evidence-based decisions about healthcare and public health at every level from local communities to global systems.

At University College London, this three-year, full-time programme is taught within one of the world's leading centres for health research. UCL's Faculty of Population Health Sciences brings together epidemiologists, statisticians, clinicians, and social scientists working on some of the most important health questions of our time, and the undergraduate programme is shaped by that research culture. You will develop rigorous quantitative skills in epidemiology and biostatistics, learning to design studies, analyse data, and interpret evidence about health and disease in populations.

The programme also covers the social determinants of health, global health, health policy, and the ethical dimensions of public health practice.

Graduates are equipped not just with knowledge but with the analytical and research skills to work independently in health research or policy, to evaluate evidence critically, and to communicate findings clearly to diverse audiences, from clinical colleagues to policymakers and the public.

Graduates from population health sciences programmes at UCL go on to careers in public health, epidemiological research, health policy, the NHS, global health organisations, think tanks, and consulting. Many continue to postgraduate study in public health, epidemiology, global health, or health economics. UCL's research environment and reputation make graduates highly competitive for roles in both academia and the wide range of organisations that need people who can work rigorously with health data and evidence.