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The Chair of Educational Data Science, headed by Prof. Dr. Sven Hilbert, deals with data science in education. The teaching focus is the methodological training and further education of students of psychology, educational science and the teaching profession. Students and doctoral candidates acquire competence in independent scientific work with methods from the fields of Data Science, especially Machine Learning, and Statistics.
 

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In the area of research, the Chair of Educational Data Science develops new quantitative methods and deals with the methodological implementation and evaluation of educational and classroom-related projects.

Supervision of final theses

If you are interested in bachelor and master theses with methodological orientation, please contact Prof. Sven Hilbert. Current topics to be assigned:

• Overfitting of structural equation models

If you are interested in admission theses and final theses on school-related issues, please contact Dr. Alfred Lindl.

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