Exploring factors that predict which students get into their first-choice engineering major

Abstract A better understanding of how to improve student retention in engineering is required to support students in completing engineering degrees and entering the workforce. Application processes to engineering majors are one barrier to retention in some engineering programs. This study evaluates demographic, grades, application process, and engineering major admissions data from students at a large Midwestern University that underwent an application process to engineering majors in Spring 2021 and Spring 2022. Following a common first-year curriculum, students apply to their top three engineering major preferences in their second semester. Applications are reviewed within major departments and students are either admitted to one of their choices, counseled to join a non-engineering major, or must reapply later. Results reveal that first-generation status students are admitted to competitive engineering majors at a significantly lower rate than continuing-generation students. Cumulative grade point average (GPA) is the predominant predictor of major admission and appears to contribute to differences in admission based on students’ generation status. A major-specific prerequisite course grade is also a significant predictor of admission into Computer Science and Engineering, although less heavily weighted than GPA. These findings add to our understanding of barriers preventing students from entering engineering and have implications for supporting students equitably through engineering matriculation paths.

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Publication Details

Journal
Discover Education
Published
2025-05-20
DOI
https://doi.org/10.1007/s44217-025-00536-0
Primary Topic
Engineering Education and Curriculum Development
Type
article
Field-Weighted Citation Impact
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article

Exploring factors that predict which students get into their first-choice engineering major

Tyler Milburn, Krista Kecskemety, Meagan E. Ita
Discover Education
Engineering Education and Curriculum Development
article

Exploring factors that predict which students get into their first-choice engineering major

Tyler Milburn, Krista Kecskemety, Meagan E. Ita
article en

Abstract

Abstract A better understanding of how to improve student retention in engineering is required to support students in completing engineering degrees and entering the workforce. Application processes to engineering majors are one barrier to retention in some engineering programs. This study evaluates demographic, grades, application process, and engineering major admissions data from students at a large Midwestern University that underwent an application process to engineering majors in Spring 2021 and Spring 2022. Following a common first-year curriculum, students apply to their top three engineering major preferences in their second semester. Applications are reviewed within major departments and students are either admitted to one of their choices, counseled to join a non-engineering major, or must reapply later. Results reveal that first-generation status students are admitted to competitive engineering majors at a significantly lower rate than continuing-generation students. Cumulative grade point average (GPA) is the predominant predictor of major admission and appears to contribute to differences in admission based on students’ generation status. A major-specific prerequisite course grade is also a significant predictor of admission into Computer Science and Engineering, although less heavily weighted than GPA. These findings add to our understanding of barriers preventing students from entering engineering and have implications for supporting students equitably through engineering matriculation paths.

Discover EducationVol. 4(1)
The Ohio State University (US), Virginia Tech (US)
Openalex Percentile: Top 85%
Engineering Education and Curriculum Development
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Exploring factors that predict which students get into their first-choice engineering major — Tyler Milburn, Krista Kecskemety, et al. · Discover Education (2025) | TGRS Research Map | TGRS