Public Health Data Science

University of Bordeaux, School of Public Health (Isped), France (57ECTS)

Learning outcomes

By the end of the year, the students will be able to:

  • Wrangle and transform health data to perform meaningful analyses.
  • Visualize and interpret health data and effectively communicate results and findings.
  • Apply statistical methods to draw scientific conclusions from health data.
  • Utilise statistical models and machine learning
  • Collaborate with a team on health data-driven research projects.

Teaching language

ENGLISH

Course content

Compulsory modules (33 ECTS)

  • Basics
  • Electronic Health Data
  • Digital Cohort
  • Web-based data
  • Omics data
  • Value creation

Dissertation and internship (24 ECTS)

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