MULTI-DIMENSIONAL POST-UTME DATA ANALYSIS: A CASE STUDY OF DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF IBADAN, NIGERIA

Olalekan S. Akinola

Abstract


The open access to higher education is introducing admission challenges among universities in Nigeria and requires them tointroduce alternative methods for admitting students, in order to identify and select the most appropriate students to reachbetter performance. The study accumulated admission data of prospective Computer Science candidates invited for Post-Unified Tertiary Matriculation Examination (UTME) interactive tests conducted at the University of Ibadan for a period offour academic sessions (2007/08, 2008/09, 2009/10 and 2010/2011). A data warehouse was implemented with a star schemafor the data. Multidimensional analysis was thereafter performed on the data. This study reveals that something very urgenthas to be done to some Centres being used for Unified Tertiary Matriculation Examinations (UTME) conducted by the JointAdmissions and Matriculation Board (JAMB) in Nigeria.

Keywords: Admission, JAMB, UTME, Data Warehouse, Multi-Dimensional Data Analysis.


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