The course trains students from a variety of academic backgrounds to work as statisticians in various sectors including higher education, research institutions, the pharmaceutical industry, central government and national health services. It provides training in the theory and practice of statistics with special reference to clinical trials, epidemiology and clinical or laboratory research.
The PSI Andrew Hewett Prize is founded in memory of Andrew Hewett, an alumnus of the School and awarded by the PSI (Statisticians in the Pharmaceutical Industry) to the best student on the course. Duration: one year full-time or part-time over two years. Modes of study explained.
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.
Undergraduate medical students can take a year out either to pursue related studies or work. The School welcomes applications from medical students wishing to intercalate after their third year of study from any recognised university in the world.
Why intercalate with us?: Reputation: The School has an outstanding international reputation in public health & tropical medicine and is at the forefront of global health research. It is highly rated in a number of world rankings including:
- World’s leading research-focused graduate school (Times Higher Education World Rankings, 2013) - Third in the world for social science and public health (US News Best Global Universities Ranking, 2014) - Second in UK for research impact (Research Exercise Framework 2014) - Top in Europe for impact (Leiden Ranking, 2015)
Highly recognised qualification: possessing a Master's from the School will give you a focused understanding of health and disease, broaden your career prospects and allow you to be immersed in research in a field of your choice.
Valuable skills: you will undertake an independent research project (summer project) in your chosen topic, equipping you with research skills that will distinguish you in a clinical environment. While your medical qualification will give you a breadth of knowledge; undertaking an intercalated degree will allow you to explore your main area of interest in greater depth.
Alumni network: the School has a strong international and diverse alumni community, with more than 20,000 alumni in over 180 countries.
MSc vs. BSc: undertaking an MSc is an excellent opportunity to develop in-depth specialist knowledge in your chosen topic and enhance your skills in scientific research. Postgraduate qualifications are increasingly sought after by clinicians and possessing a Masters qualification can assist you in your future career progression.
By the end of this course students should be able to:
- select appropriate study designs to address questions of medical relevance
- select and apply appropriate statistical techniques for managing common types of medical data
- use various software packages for statistical analysis and data management
- interpret the results of statistical analyses and critically evaluate the use of statistics in the medical literature
- communicate effectively with statisticians and the wider medical community, in writing and orally through presentation of results of statistical analyses
- explore current and anticipated developments in medical statistics
Term 1: All students take five compulsory modules: - Foundations of Medical Statistics - Introduction to Statistical Computing (Stata/SAS/R) - Clinical Trials - Basic Epidemiology - Robust Statistical Methods
Terms 2 and 3: Students take a total of five modules, one from each timetable slot (Slot 1, Slot 2 etc.). The list below shows recommended modules. There are other modules which can only be taken after consultation with the course director.
- Slot 1: Generalised Linear Models (compulsory)
- Slot 2: Statistical Methods in Epidemiology (compulsory)
- Slot 3: Analysis of Hierarchical & Other Dependent Data* Epidemiology of Non-Communicable Diseases Modelling & the Dynamics of Infectious Diseases Social Epidemiology
- Slot 4: Survival Analysis and Bayesian Statistics (compulsory)
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.