Studenten overleggen in de Universiteitsbibliotheek
Studenten overleggen in de Universiteitsbibliotheek

Updated forecasting model provides early insight into student population for 2026-2027

Curious about next year’s expected student intake? The updated forecasting model will already offer an insight.

Radboud University introduced its forecasting model in spring 2024. Even early in the academic year, this forecasting model, developed by the Institutional Research department (Academic Affairs), provides some indication of the expected intake and student population for the next academic year. The model delivers projections for the university as a whole as well as for each faculty and study programme.

Further development and new functionalities: predictions for the entire student population, pre-Master’s programmes and new study programmes

The forecasting model has been further improved over the past year. Firstly, the dashboard has a fresh new look and feel. What’s more, on top of existing student intake projections, forecasts are now also available for non-first-year students. As a result, the forecasting model now includes predictions for the entire student population of Radboud University. 

In addition, pre-Master’s programmes have been added and new study programmes included. For these, the model estimates intake based on comparable study programmes. Over the near future, work will continue on a multi-year forecast to enable projections beyond a single academic year.

How good were the predictions for 2025-2026?

By and large, the predictions for the current academic year proved to be highly accurate at both university and faculty levels. At study programme level, the projections were often good too, though some deviations occurred for study programmes with unexpected pre-enrolment patterns. This highlights the model’s role as a valuable and supportive tool for planning and scenario analysis. In addition, for many study programmes it provides a reliable prediction of future intake, especially as the new academic year draws nearer. 

View the updated forecasting model