Advanced Biostatistics and Epidemiology

EHESP School of Public Health, Rennes, France (57 ECTS)

Learning outcomes

At the end of the year, students are able to:

  • Explain the importance of epidemiology for informing discussion of health issues and comprehend basic ethical and legal principles pertaining to epidemiologic data.
  • Appropriate and apply concepts, descriptive and inferential methodologies, and informatics techniques in the description of public health characteristics and in public health research and evaluation.
  • Interpret results of statistical analyses, describe a public health problem in terms of magnitude, person, time and place and calculate basic epidemiology measures.
  • Draw appropriate inferences from epidemiologic data and evaluate the strengths and limitations of epidemiologic reports.


EHESP School of Public Health

Please note that from the 2025-2026 academic year, the MPH at EHESP will be located on the main campus, in Rennes, France.

The « Advanced Biostatistics and Epidemiology » specialisation will therefore take place in Rennes”.

Teaching language


Course content

Compulsory modules (18-21 ECTS)

  • Upgrading Biostatistics (not credited)
  • Advanced Core module – Epidemiology (3 ECTS)
  • Advanced Core module – Information sciences and biostatistics (3 ECTS)
  • Advanced Core module – Environmental and occupational health sciences (3 ECTS)

Concentration in Epidemiology:

  • Analysis in Epidemiology I&II (6 ECTS)
  • Concepts, methods and design in Epidemiology (3 ECTS)

Concentration in Biostatistics:

  • Introduction to R: computing, graphics and statistics (3 ECTS)
  • ISB Multidimensional & multivariate statistical methods (3 ECTS)
  • Modeling of infectious diseases (3 ECTS)
  • Spatial statistical analysis (3 ECTS)

Elective modules – to be chosen from the following list (9-12 ECTS)

  • Concentration in Epidemiology:
  • Infectious Disease Epidemiology
  • Chronic Disease Epidemiology
  • ISB Multidimensional & multivariate statistical methods
  • Introduction to R: computing, graphics for statistics & Epidemiology
  • Perinatal & Pediatric Epidemiology
  • Multi-level Analysis

Concentration in Biostatistics:

  • Design and methods in Epidemiology
  • Analysis in Epidemiology (I)
  • Analysis in Epidemiology (II)
  • Multi-level Analysis
  • GIS & Environmental Health