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Datasets on demographic trends in enrollment into undergraduate engineering programs at Covenant University, Nigeria

Popoola, S.I. and Atayero, A.A. and Badejo, J.A. and Odukoya, J.A. and Omole, D.O. and Ajayi, P. (2018) Datasets on demographic trends in enrollment into undergraduate engineering programs at Covenant University, Nigeria. Data in Brief, 18. pp. 47-59.

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Abstract

In this data article, we present and analyze the demographic data of undergraduates admitted into engineering programs at Covenant University, Nigeria. The population distribution of 2649 candidates admitted into Chemical Engineering, Civil Engineering, Computer Engineering, Electrical and Electronics Engineering, Information and Communication Engineering, Mechanical Engineering, and Petroleum Engineering programs between 2002 and 2009 are analyzed by gender, age, and state of origin. The data provided in this data article were retrieved from the student bio-data submitted to the Department of Admissions and Student Records (DASR) and Center for Systems and Information Services (CSIS) by the candidates during the application process into the various engineering undergraduate programs. These vital information is made publicly available, after proper data anonymization, to facilitate empirical research in the emerging field of demographics analytics in higher education. A Microsoft Excel spreadsheet file is attached to this data article and the data is thoroughly described for easy reuse. Descriptive statistics and frequency distributions of the demographic data are presented in tables, plots, graphs, and charts. Unrestricted access to these demographic data will facilitate reliable and evidence-based research findings for sustainable education in developing countries. © 2018 The Authors

Item Type: Article
Additional Information: cited By 0
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: UNSPECIFIED
Depositing User: Dr. Joke Badejo
Date Deposited: 17 Sep 2018 10:12
Last Modified: 17 Sep 2018 10:12
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/11659

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