MSc Demography & Health

London School of Hygiene & Tropical Medicine, University of London

In order to be admitted to an LSHTM master's degree programme, an applicant must:

hold either a first degree at Second Class Honours (2:2) standard in a relevant discipline, or a degree in medicine recognised by the UK General Medical Council (GMC) for the purposes of practising medicine in the UK, or another degree of equivalent standard awarded by an overseas institution recognised by UK ENIC or the GMC.

or

hold a professional qualification appropriate to the programme of study to be followed obtained by written examinations and judged by LSHTM to be equivalent to a Second Class Honours (2:2) degree or above.

or

have relevant professional experience or training which is judged by LSHTM to be equivalent to a Second Class Honours (2:2) degree or above.

Additional requirements for the MSc Demography & Health are:

evidence of numeracy skills

Students select their Demography & Health pathway - either Population Health and Policy or Population Data Science - during orientation week (Welcome Week) at LSHTM.

Population Health and Policy Pathway

Relevant subjects include:

Social sciences: anthropology, demography, development, economics, geography, international relations, politics, sociology

Sciences: mathematics, statistics, biology, medicine, nursing, midwifery

Other qualifications may be considered if you can show evidence of sufficient quantitative exposure. Please highlight this clearly in your application.

Applicants who dont meet the minimum entry requirements but have relevant professional experience may still be eligible. All qualifications and experience are assessed as part of the application process.

Population Data Science Pathway

This pathway suits students with a strong mathematical background, including knowledge of:

Probability and statistics

Calculus

Linear algebra (including logarithms and exponents)

These skills may come from:

A degree in mathematics, statistics or a related discipline

Quantitative study within a science-based undergraduate degree

2-3 years of relevant work experience in data science or an allied field

Familiarity with statistical programming is an advantage. During Welcome Week, your mathematical skills will be assessed and discussed with the Programme Team to confirm whether this pathway is the right fit.

Students without the required mathematical background will follow the Population Health and Policy pathway. This is also a quantitative route, covering:

Mathematical demography

Population modelling and projections

R programming

Its complemented by a wider selection of social science and policy-focused modules, offering a balanced and applied approach.

Any student who does not meet the minimum entry requirement of a second-class honours degree or equivalent qualification but who has relevant professional experience may still be eligible for admission. Qualifications and experience will be assessed from the application.