Master 2 Epidemiology, Health Data, Biostatistics (EDSB) under Data Analyst for Life Sciences course

Its aim is to enable students, mainly from health and biology bachelor's degrees, to acquire a dual competence in biostatistics.

This dual competence is particularly sought-after on the job market, as shown by the insertion rate figures at the end of the program. Our students are real assets to a team, since they have the necessary biology/health culture to master the problem of interest, and the skills to analyze the data appropriately. Proper data analysis in biology/health is a major challenge for research in the years to come, since data are becoming ever more voluminous and numerous, and errors in their analysis can (and have in the past) led to erroneous or non-reproducible conclusions, discrediting the entire research sector. Genuine expertise in data analysis is therefore essential to answer complex biological questions. This objective is the "DNA" of our training program and will continue to be so in the coming period.

In addition, we have developed the content of the course to enable biology and health students to acquire skills in biostatistics that are increasingly relevant to the job market: introduction of the Python language, reinforcement of teaching in Machine Learning and artificial intelligence. This development is also in line with the change of major, as the healthcare applications of these methods are increasingly numerous (biomarker research, personalized medicine, etc.). In this respect, we have strengthened our courses to make our students (especially those from non-healthcare backgrounds) aware of the problems inherent in health data.

From a professional point of view, we are proposing a new case-study course, introducing project-based learning, which is well known for its pedagogical virtues. This course is accompanied by an introduction to project management, preparing our students for their future jobs, which often involve working in project-based teams.