The course will have a hybrid format and students can choose to attend in person in London or online.

Data is key - in everything from vaccines to pandemics, cancer prevention or climate change. Being able to understand and analyse the numbers underpins efforts to improve health outcomes and tackle today’s challenges in public health and healthcare.

This three-week course brings together the basic principles of two complementary disciplines: epidemiology and medical statistics. It will give you a foundation in practical statistical tools and confidence to make sense of the sometimes overwhelming amount of healthcare data that exists.

You will learn from highly experienced researchers through fascinating real-world examples on a wide range of topics from infectious disease to clinical care and prevention. These insights will help you apply your new knowledge to study design, interpretation and analysis, laying the groundwork to avoid common pitfalls and follow the latest best practices.

Year after year, participants in this course have also developed a supportive and collaborative community as they work through the packed schedule of theory and practical elements. 

Who should apply?

The course is relevant to clinicians, current PhD students, and other graduates who work in medical research units, academic institutions, or health services. The course is designed primarily for those working on epidemiological research projects, or for anyone interested in moving in that direction or finding out more. Or perhaps you’ve recently graduated, in which case this course can be a useful way of getting a taster of the field before more in-depth studies such as a Master’s or starting on your career or further training.

Whether you’re looking to build on current knowledge or just starting in this field, this course is an excellent opportunity to learn fundamental principles and skills from world-leading experts and join a life-long community of professionals in epidemiology and medical statistics. 

Applicants should have a good command of the English language. However, no previous formal training in epidemiology or statistics is required. Those who are already confident in these methods may prefer to consider the Advanced Course in Epidemiological Analysis, which can also be a helpful next step to take after completing this course.   

Teaching methods

You can study this hybrid short course either online or in person. Course participants will receive three weeks of training in the fundamental principles of epidemiology and medical statistics.

This introduction to the field focuses on:

• The basic concepts of epidemiology.
• The application of statistical methods, including linear and logistic regression, using STATA and R software.
• Practical skills in study design, data analysis and interpretation.

Participants should expect to spend approximately 5-6 hours daily on the course. Of these, 2 hours will be live/recorded lectures, and 3 hours will be practical with tutor support, to be taken at the same time for all participants (usually 11 am-3.30 pm BST). A more detailed timetable will be available at the start of the course.

Members of the Faculty of Epidemiology & Population Health of the London School of Hygiene & Tropical Medicine will teach the course. LSHTM is well known as a leading international centre for epidemiological research. Staff have considerable experience in the design and analysis of epidemiological studies in high, middle and low-income settings.