Structure
The MSc Medical Statistics can be taken 1 year full-time or 2 years part-time or split study. Courses are typically delivered with face-to-face lectures introducing new material, followed immediately by a hands-on practical session.
Full-time students are typically expected to be on campus 4 days per week, and part-time students 2 days per week. The below structure outlines the proposed modules for this programme.
Programme and module specifications provide full details about the aims and objectives of each module, what you will study and how the module is assessed.
- Structure of the year
Term 1 (September - December) consists of ten teaching weeks for AB1 slot modules, plus one Reading Week* in the middle of the term, followed by the Winter break.
Term 2 (January - March) consists of a further ten weeks of teaching for C and D slot modules, plus a Reading Week in the middle of the term. C modules are taught in five half-week blocks before Reading Week. D modules are taught in five half-week blocks after Reading Week, followed by the Spring break.
Term 3 (April - September) consists of five weeks of teaching for E slot modules, taught in half-week blocks, and the project report.
*Reading Week is a week during term where no formal teaching takes place. It is a time for private study, preparing for assessments or attending study/computer skills workshops. There are two Reading Weeks at LSHTM: one in November and the other in February.
- Term 1
All students take four compulsory AB1 modules:
- Concepts and Methods in Epidemiology
- Clinical Trials
- Foundations of Medical Statistics
- Introduction to Statistical Computing
- Terms 2 and 3
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
- Project report
During the summer months (July - August), students complete a research project, for submission by early September. This usually consists of analysing a set of data and writing a report, but methodological research can also be undertaken.
Please note: Should it be the case that you are unable to travel overseas or access laboratories in order to complete your project, you will be able to complete an alternative desk-based project allowing you to obtain your qualification within the original time frame. Alternatively, you will be able to defer your project to the following year.
Prize
The Andrew Hewett Prize is founded in memory of Andrew Hewett, an alumnus of LSHTM, and awarded to the best student on the programme.
Changes to the programme
LSHTM will seek to deliver this programme in accordance with the description set out on this programme page. However, there may be situations in which it is desirable or necessary for LSHTM to make changes in course provision, either before or after registration. For further information, please see our page on changes to courses.