Thesis Evolución de la matrícula de pregrado en Ingeniería Civil en Computación e Informática en universidades chilenas (2007-2024)
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Date
2025-08
Authors
Journal Title
Journal ISSN
Volume Title
Program
Ingeniería Comercial
Departament
Campus
Campus Casa Central Valparaíso
Abstract
El presente estudio analiza la evolución de la matrícula en la carrera de Ingeniería Civil en Computación e Informática (ICCI) en universidades chilenas entre 2007 y 2024, y proyecta su comportamiento hasta 2030. La investigación se desarrolla en el marco de transformaciones tecnológicas, cambios en las políticas públicas de educación superior y persistentes desigualdades de acceso, particularmente en función del género, el tipo de institución y la dependencia del establecimiento de egreso. El trabajo adopta un enfoque cuantitativo descriptivo, basado en datos secundarios provenientes del Servicio de Información de Educación Superior (SIES). Se analizan variables como tipo de institución (CRUCH y privadas no CRUCH), región, dependencia del establecimiento de egreso (municipal, subvencionado, particular pagado) y participación femenina. Para la proyección se utiliza el modelo de Holt (doble suavizamiento exponencial), con coeficientes de suavizamiento α ≈ 0,979 y β ≈ 0,701. El modelo muestra un buen ajuste histórico (MAE ≈ 112,7 y MAPE ≈ 5,04 %). Los resultados indican que la matrícula en ICCI ha seguido una tendencia creciente, especialmente desde 2017, superando los 3.900 estudiantes en 2024. Las proyecciones sugieren que, de mantenerse las condiciones actuales, esta cifra podría alcanzar entre 6.500 y 7.000 estudiantes al 2030. No obstante, subsisten brechas estructurales: las universidades privadas concentran el mayor crecimiento, la participación femenina apenas bordea el 20%, y la distribución regional sigue concentrada en las zonas centro y sur del país. Se destaca el impacto de fenómenos como la gratuidad, la pandemia y la transformación digital, pero también(...).
This study analyzes the evolution of undergraduate enrollment in the Civil Engineering in Computer Science and Informatics (ICCI) program at Chilean universities from 2007 to 2024, and projects its trajectory through 2030. The research is framed within a context of technological transformation, changes in higher education public policies, and persistent access inequalities—particularly in terms of gender, type of institution, and high school background. A descriptive quantitative approach was adopted, based on secondary data from the Higher Education Information Service (SIES). The analysis includes variables such as type of institution (CRUCH and non-CRUCH private universities), geographic region, type of high school (municipal, subsidized, private), and female participation. Forecasting was performed using the Holt model (double exponential smoothing), with smoothing coefficients of approximately α = 0.979 and β = 0.701. The model showed a good historical fit (MAE ≈ 112.7 and MAPE ≈ 5.04%). Results indicate a sustained upward trend in ICCI enrollment, particularly since 2017, reaching over 3,900 students in 2024. Projections suggest that if current trends continue, enrollment could reach between 6,500 and 7,000 students by 2030. However, structural disparities remain: private universities account for the largest growth, female participation remains below 20%, and regional distribution is concentrated in central and southern Chile. The analysis highlights the impact of policies such as free tuition, the COVID-19 pandemic, and digital transformation, while also(...).
This study analyzes the evolution of undergraduate enrollment in the Civil Engineering in Computer Science and Informatics (ICCI) program at Chilean universities from 2007 to 2024, and projects its trajectory through 2030. The research is framed within a context of technological transformation, changes in higher education public policies, and persistent access inequalities—particularly in terms of gender, type of institution, and high school background. A descriptive quantitative approach was adopted, based on secondary data from the Higher Education Information Service (SIES). The analysis includes variables such as type of institution (CRUCH and non-CRUCH private universities), geographic region, type of high school (municipal, subsidized, private), and female participation. Forecasting was performed using the Holt model (double exponential smoothing), with smoothing coefficients of approximately α = 0.979 and β = 0.701. The model showed a good historical fit (MAE ≈ 112.7 and MAPE ≈ 5.04%). Results indicate a sustained upward trend in ICCI enrollment, particularly since 2017, reaching over 3,900 students in 2024. Projections suggest that if current trends continue, enrollment could reach between 6,500 and 7,000 students by 2030. However, structural disparities remain: private universities account for the largest growth, female participation remains below 20%, and regional distribution is concentrated in central and southern Chile. The analysis highlights the impact of policies such as free tuition, the COVID-19 pandemic, and digital transformation, while also(...).
Description
Keywords
Educación Superior, Proyección de matrículas universitarias, Transformación digital, Brechas estructurales, Desigualdad de género
