MSci Population Health Sciences (Data Science)
About this course
MSci in Population Health Sciences (Data Science), a public health degree focused on population health sciences through data science approaches. Core topics include Programming, Data Analysis, Research Methods, and Artificial Intelligence & Machine Learning. This four-year integrated Master's degree includes a final-year dissertation and is structured across four academic years. The first year covers core foundations through compulsory modules such as Research Methods in Population Health, Measuring Population Health, and Social Determinants of Health. The second year introduces further topics via modules like A Life Course Approach to Health, Acute and Chronic Infectious Diseases, and Demographic Analysis, alongside optional modules including Introduction to python and Introduction to AI for Healthcare. The third year centres on the Population Health Dissertation and allows students to choose from options such as Advanced AI for Healthcare, Cartography and Data Visualisation, and Machine Learning for Social Sciences with Python. The final fourth year features a Dissertation in Population Health and core study in Key Issues in Health Service Delivery, Policy and Management, with further optional modules including Regression Modelling and Programming with Python for Health Research.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
A level: ABB IB: 34 points (A total of 16 points in three higher level subjects, with no higher level score below 5.)
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What students say
Based on about 48 final-year students who answered, across similar courses at this university
- Teaching on my course: 84%
- Learning opportunities: 83%
- Assessment and feedback: 73%
- Academic support: 87%
- Organisation and management: 87%
- Learning resources: 93%
- Student voice: 90%
Do students stay on the course?
Based on about 55 students who started, across similar courses at this university
- Continued on course: 97%
- Left higher education: 2%
- Moved to a lower qualification: 1%
What graduates do next
Based on about 8 graduates who answered, across similar courses at this university (a small group: a rough guide only)
- Working: 40%
- Working and studying: 30%
- Further study: 20%
- Unemployed: 10%
Most common jobs
- Natural and social science professionals: 10%
- Secretarial and related occupations: 10%
- Teaching Professionals: 10%
- Finance Professionals: 10%
- Media Professionals: 10%
- Find their work meaningful: 95%
- Feel on track for their future plans: 65%
- Use what they learnt on the course: 55%
Where graduates work (5 years on)
Based on about 325 graduates, across similar courses at this university
- North East: 1%
- North West: 4%
- Yorkshire and the Humber: 2%
- East Midlands: 2%
- West Midlands: 2%
- East of England: 13%
- London: 56%
- South East: 12%
- South West: 6%
- Wales: 2%
Who gets in
Based on about 60 students who started, across similar courses at this university
- A levels: 86%
- Baccalaureate: 13%
- A degree: 2%
Accreditation & quality ratings
TEF 2023 (whole university): Silver overall, Silver for student experience, Gold for student outcomes.
Modules
- Research Methods in Population Health
- Epidemiological Transition: Health and Disease in the Past, Present and Future
- Measuring Population Health
- Social Determinants of Health
- Communicating Population Health
- Introduction to Quantitative Research Methods
- Frontiers of Knowledge in Population Health
- A Life Course Approach to Health
- Acute and Chronic Infectious Diseases
- Demographic Analysis
- Data Analysis
- Introduction to python
- Introduction to AI for Healthcare
- Sociological Theory and Population Health
- Health and Behaviour
- Perspectives on Global Health
- Data Analysis for Population Health
- Qualitative Research Methods
- Introduction to Clinical Trials
- Population Health Dissertation
- Digital Strategy and Transformation
- Advanced AI for Healthcare
- Cartography and Data Visualisation
- Machine Learning for Social Sciences with Python
- Health, Poverty and Development
- Systematic reviews and meta-analysis
- Health Economics
- Population Ageing
- Genomics, Health and Society
- Child and Adolescent Public Health
- Dissertation in Population Health
- Core Concepts in Population Health
- Key Issues in Health Service Delivery, Policy and Management
- Research in Action: the Qualitative Approach
- Climate Change and Health
- Infectious Disease Epidemiology and Global Health Policy
- Epidemiology
- Regression Modelling
- Programming with Python for Health Research
Questions about this course
How much do graduates of MSci Population Health Sciences (Data Science) at University College London earn?
The median salary is £26,000 after 15 months, £34,500 after 3 years, £43,500 after 5 years. After five years the middle half of graduates earn between £34,500 and £52,000. The £43,500 median after five years is £11,000 more than the UK median for Environmental and public health.
What do graduates of MSci Population Health Sciences (Data Science) at University College London do next?
90% were in work or further study 15 months after finishing (Graduate Outcomes 2022-23).
Are students happy with the teaching on MSci Population Health Sciences (Data Science) at University College London?
84% of final-year students were positive about the teaching in the National Student Survey 2024-25.
What grades do I need for MSci Population Health Sciences (Data Science) at University College London?
The typical offer is ABB at A level, or 34 points in the IB. The average entrant had 165 UCAS points.
How many students continue on MSci Population Health Sciences (Data Science) at University College London?
97% of students continued into their second year, and 2% left higher education.