There’s a vast amount of healthcare data in the world. And growing demand for medical statisticians who can analyse it to solve the biggest challenges in medicine.
Study the MSc Medical Statistics (or Biostatistics) to combine your passion for healthcare with your analytical mindset. Help to advance medical knowledge, prevent diseases, improve treatments, and influence government health policies. From designing clinical studies to identifying the causes of diseases, you’ll develop the specialist skills you need to play a vital role in global health and development.
The normal minimum entrance qualification for registration at the School on a Master’s programme is at least one of the following:
Applications with an appropriate technical qualification, or equivalent qualification and experience from overseas, are also welcomed.
For the MSc Medical Statistics it is preferred that students should normally have obtained a mathematically-based first degree which includes some statistics. Graduates from other fields who have quantitative skills and some familiarity with statistical ideas may also apply.
Any student who does not meet the minimum entry requirement above but who has relevant professional experience may still be eligible for admission. Qualifications and experience will be assessed from the application.
As part of the admissions process all suitable applicants will be invited to interview. Applicants who live overseas will be offered a Skype or telephone interview and those who live in the UK will be invited to the School. We are also happy to interview UK applicants by Skype or telephone if preferred, due to work or study commitments.
For fees and funding options please visit website to find out more
All students take four compulsory AB1 modules:
Students take a total of five study modules, one from each timetable slot (C1, C2, D1, D2, E). The list below shows recommended or compulsory modules. There are other optional modules which may be taken after consultation with the Programme Director.
C1 slot
Statistical Models for Discrete Outcomes (compulsory)
C2 slot
Survival Analysis (compulsory)
D1 slot
Analysis of Hierarchical and Other Dependent Data
D2 slot
Bayesian Analysis (compulsory)
E slot
Advanced Statistical Methods in Epidemiology
Causal Inference and Missing Data
About LSHTM The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. A postgraduate-onl...