Statistical Modelling in Enrolment Management

Enrolment management is important to institutions of higher learning. Administrators at these institutions are annually faced by the question: how many offers for a given academic programme should be made to applicants to meet the registration target set by the authorities? Data on past and new applicants are available at most institutions. In this paper, data from the Faculty of Natural Sciences at the University of the Western Cape are used to develop a statistical model that provides estimates of the likelihood of new applicants accepting registration offers from the Faculty. The paper therefore contributes to the important field of strategic enrolment management. The paper shows how a statistical model estimated from historical data can assist administrators to determine the number of offers that should be extended to applicants to reach a given registration target.

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Publication Details

Journal
International Journal of African Higher Education
Published
2025-05-08
DOI
https://doi.org/10.6017/ijahe.v11i2.17815
Primary Topic
Scheduling and Timetabling Solutions
Type
article
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article

Statistical Modelling in Enrolment Management

Humphrey Brydon, Rénette Blignaut, S. J. Steel, Dineo Mahlangu et al.
International Journal of African Higher Education
Scheduling and Timetabling Solutions
article

Statistical Modelling in Enrolment Management

Humphrey Brydon, Rénette Blignaut, S. J. Steel, Dineo Mahlangu, Jessica Maloma
article en

Abstract

Enrolment management is important to institutions of higher learning. Administrators at these institutions are annually faced by the question: how many offers for a given academic programme should be made to applicants to meet the registration target set by the authorities? Data on past and new applicants are available at most institutions. In this paper, data from the Faculty of Natural Sciences at the University of the Western Cape are used to develop a statistical model that provides estimates of the likelihood of new applicants accepting registration offers from the Faculty. The paper therefore contributes to the important field of strategic enrolment management. The paper shows how a statistical model estimated from historical data can assist administrators to determine the number of offers that should be extended to applicants to reach a given registration target.

International Journal of African Higher EducationVol. 11(2)
University of the Western Cape (ZA)
Openalex Percentile: Top 89%
Scheduling and Timetabling Solutions
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Statistical Modelling in Enrolment Management — Humphrey Brydon, Rénette Blignaut, et al. · International Journal of African Higher Education (2025) | TGRS Research Map | TGRS