Join the 2026 Methods and Statistics Summer School Courses at Utrecht University
The Department of Methodology and Statistics (M&S) of Utrecht University offers 17 courses this summer, regarding topics such as: SEM models, longitudinal data methods, R, Python, text mining, survey research, hypothesis evaluation/model selection, Bayes, multilevel modeling, networks, qualitative research methods, and many more data science topics!
Course overview
Below, you can find a list of our courses. You can also read more about them via our website.
Further information and registration
For further information and registration, please click on the name of the course below.
Contact
Do you have any questions? Feel free to send an email to ms.summerschool@uu.nl.
Hope to see you in summer!
On behalf of the M&S Summer School team,
Irma and Rebecca
M&S Summer School programme
Bayes & Hypothesis evaluation/model selection
- Beyond null-hypothesis testing (runs in April)
SEM model
- Introduction to Structural Equation Modeling using lavaan (e-learning, runs for 4 weeks in March)
- Introduction to Structural Equation Modeling using Mplus
- Advanced longitudinal modeling in Mplus
Longitudinal
- Modeling the dynamics of intensive longitudinal data (e-learning, runs for 10 weeks)
R
- Introduction to Structural Equation Modeling using lavaan (e-learning, runs for 4 weeks in March)
- Data Science: Statistical programming with R
- Data Science: Introduction to Machine Learning and Data Analysis in R
Python
Text mining
Survey
- Survey research: Design, implementation, and data processing
- Survey Research: Statistical Analysis and Estimation
Multilevel analysis
- Introduction to multilevel analysis (3 days)
- Advanced multilevel analysis (3 days)
Qualitative research
Data Science
- Data Science: Programming with Python
- Data Science: Statistical programming with R
- Data Science: Network Science
- Data Science: Applied Text Mining and NLP
- Data Science: Solving missing data problems in R
- Data Science: Introduction to Machine Learning and Data Analysis in R
Other Topics
- Applied Multivariate Analysis (two weeks)