The School of Public Health offers a range of specialist short courses for public health and medical professionals, epidemiologists and statisticians, which provide the most up-to-date developments in specific areas of interest.

Current short courses

Mathematical modelling for the control of infectious disease

Since 1990, this course has "demystified" mathematical modelling and kept public-health professionals, policy makers, and infectious disease researchers up-to-date with what they need to know about this fast-moving field, taught by individuals who are actively engaged in research and who advise leading public health professionals, policy-makers, governments, international organisations and pharmaceutical companies, both nationally and internationally, including on pandemic influenza, SARS, HIV, foot-and-mouth disease.

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Mendelian randomisation

Mendelian Randomisation is a method that is applied to observational data using genetic information and could provide evidence for causality. The approach has become popular in recent years due to improvements in methods and wealth of genetic associations that became available in past decade through genome-wide association studies (GWAS). It is a great opportunity to learn this method and apply it to your own research. We are aiming to set this course as an introduction to the topic to make it suitable for students who are completely unfamiliar with the approach, however, we try to address advanced cutting-edge methods.

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Exposome Analytics

Exposome Analytics will be held at Université Côte d’Azur from 23rd to 27th September 2024. Each day begins with lectures introducing theoretical concepts, followed by a seminar and a practical session to illustrate these concepts.

Exposome Analytics is designed for academics (students and researchers) and industry scientists (pharmaceuticals, insurance, food industries) with experience in analysing large and complex data sets. Ideal candidates include researchers seeking to deepen their knowledge in data analysis and integration for exposome research. Proficiency in basic statistics and R statistical software is desirable.

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