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Assessing Health Data Science Internships: A Comprehensive Study at the University of Lille
Coline Andries1,2, Ikram Ouddarour1,2, Chloé Saint-Dizier1,2,3
1Univ. Lille, UFR3S - Ingénierie et Management de la Santé, 59000 Lille, France.
Studies in Health Technology and Informatics
|August 23, 2024
Summary
First-year Health Data Science interns primarily engaged in data management and descriptive analysis tasks. Findings suggest data management is a key challenge requiring attention in training programs.
Area of Science:
- Health Data Science
- Interdisciplinary studies
Background:
- Data Science is an evolving field integrating statistics, computer science, and domain expertise.
- Health Data Science is a specialized area within this domain.
Purpose of the Study:
- To examine tasks, technologies, skills, and training alignment for Health Data Science Master's internship students.
- To identify challenges and inform future curriculum development.
Main Methods:
- Semi-structured interviews with 32 first-year Master's students in Health Data Science.
- Analysis of internship missions, technologies, and required skills.
Main Results:
- Most interns (75%) were in public sector roles (hospitals, universities).
- Internship tasks predominantly involved data management (majority) and descriptive analysis (nearly half).
- Fewer than half of students performed statistical analysis, with data management posing a significant challenge.
Conclusions:
- Data management is a critical skill gap and a major challenge for Health Data Science interns.
- Training programs should prioritize and address data management challenges.
- Further research is needed to track skill development in second-year students.
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