The Population Health BSc will give you a grounding in the different social science disciplines used to study population health, preparing you for research and professional practice.
To find out core information about this degree, such as entry requirements, programme length and cost, visit the UCL prospectus site.
About the course
Population Health studies the factors influencing health: the social and physical environment, individual behaviour, medical care and genetics.
It spans the life course from birth to old age, and requires excellence in disciplines from across the health and social sciences including epidemiology, sociology, human geography, social statistics, psychology and economics.
The degree programme has two pathways for those wishing to specialise in data science specifically and population health sciences broadly:
- The Data Science pathway comprises demanding social statistics modules that will set you apart among an elite group on social science students on graduation.
- The Population Health Methods pathway comprises less demanding statistical modules that will enable you to become more specialised in a chosen topic within a population health discipline on graduation.
You will learn from world-leading researchers, as recognised in the Research Excellence Framework, the system for assessing the quality of research in UK higher education institutions.
You will develop quantitative data-analysis skills through small group, hands-on teaching. Your educational experience will require you to engage with data from the first day of the programme and culminate in your own original research enquiry on a population health topic in your dissertation.
These and other skills developed on the programme will be invaluable for your career prospects, as a thorough understanding of the wider determinants of population health and strong quantitative data science skills are increasingly prioritised by employers. View the Careers and Employability page to view information about our graduates destinations.
Why study the BSc?
- Learn cutting-edge data analysis skills on the optional Data Science pathway.
- Small group problem-based teaching, including hands-on computer practical classes.
- Work with internationally recognised academics and clinical staff working in the NHS.
Module information is available via the links below (pdf).
- Epidemiological Transition (IEHC0025)
- Measuring Population Health (IEHC0026)
- Social Determinants of Health (IEHC0027)
- Research Methods in Population Health (IEHC0028)
- Introduction to Quantitative Research Methods (POLS008) – Data Science Pathway
- Principles of Social Science Research (POLS007) – Data Science Pathway
- Perspectives on Global Health (IEHC0079)
- Statistics for Population Health (IEHC0080) – Population health methods pathway only
The Data Science Pathway modules are part of the UCL Q-Step centre.
- Frontiers of Knowledge in Population Health (EHC0029)
- The Life Course (IEHC0030)
- Acute and Chronic Infectious Diseases (IEHC0031)
- Health Demography (IEHC0032)
- Data Analysis (POLS0010) – Compulsory for Data Science Pathway
You will select at least one of the following.
In addition, students will be able to choose a module from other UCL departments.
- Population Health Dissertation (IEHC0034)
- Causal Analysis in Data Science (POLS0012) – Data Science Pathway
- Measurements in Data Science (POLS0013) – Data Science Pathway
You will select 2.0 credits of optional modules from the following
- Population Ageing (IEHC0035)
- Genomics, Health and Society (IEHC0036)
- Health Economics (IEHC0002)
- Health Psychology (IEHC0058)
- Child and Adolescent Public Health (IEHC0038)
- Study Abroad (CEGE0027)
In addition, students will be able to choose from a wide range of modules in other UCL departments.
Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability is subject to change.