View Item 
        •   Utrecht University Student Theses Repository Home
        • UU Theses Repository
        • Theses
        • View Item
        •   Utrecht University Student Theses Repository Home
        • UU Theses Repository
        • Theses
        • View Item
        JavaScript is disabled for your browser. Some features of this site may not work without it.

        Browse

        All of UU Student Theses RepositoryBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

        Long-term Prediction of Master Student Influx in Computing Science

        Thumbnail
        View/Open
        Thesis_Sarah_220701.pdf (705.5Kb)
        Publication date
        2022
        Author
        Hsu, Sarah
        Metadata
        Show full item record
        Summary
        The influx of students is not only an important source of academic deployment but also influences national development. Higher education in the Netherlands has expanded rapidly in the last two decades, and the Dutch labour market also needs these talented people in the fastest-growing ICT industry. It is essential for the university to forecast the incoming students and avoid adverse effects in response to the rising student population. In this thesis, the XGBoost Regression algorithm is proposed to predict the Master's student influx in the following five years and investigate the feature importance of the student population. The model is trained by the background information of Bachelor’s students to estimate the long-term growth of the Master’s student influx in Computing Science. The findings and analysis can provide objective references to initiate the educational strategy.
        URI
        https://studenttheses.uu.nl/handle/20.500.12932/41849
        Collections
        • Theses
        Utrecht university logo