Course content
Term 1
There is a common core of epidemiology and statistics. The core principles and methods are delivered in parallel modules. Parallel delivery gives students the opportunity to build up knowledge and skills sequentially and to apply learning from one module to another.
Students will pursue modules that focus on core concepts in modern epidemiological research. Topics covered include epidemiological study design and analysis, statistical modelling, the global burden of disease, pathogen ecology, demography, surveillance, infectious disease intervention and prevention and mathematical disease modelling. All modules consist of a mixture of lectures, computer practical sessions using a range of software, journal clubs, and discussion groups.
Term 2
Modules for MSc students in Term 2 aim to reflect areas of emerging research as well as providing extended tutoring in core epidemiological concepts and methods. Some modules are offered to all MSc students e.g. modules covering topics such as Genetic epidemiology and Introduction to R. In addition, students will select four x 5-day specialised modules. Please note; if the number of students choosing to study a given module is insufficient then the module may not run or it may be offered in a different format.
Biostatistics modules (all modules are accompanied by practical sessions where students analyse data using R or Winbugs):
- Introduction to Bayesian analysis
- Spatial epidemiology
- Topics in biostatistics
Environmental and chronic disease module examples:
- Chronic disease epidemiology
- Cardio-respiratory epidemiology
- Nutritional epidemiology
Infectious disease epidemiology modules:
- Vector borne infections and helminth epidemiology
- Advanced infectious disease modelling
- Investigation of outbreaks
Term 3
Individual research projects are carried out under supervision. It is possible that the projects may be carried out in collaboration with other universities and research institutions. Projects are expected to take 4 months of full-time study, with one (or more) member(s) of Imperial College academic staff assigned to advise and monitor students. There may also be external supervisors.
