Bayesian Correlation between Cumulative Grade Point Average and Employment

Abstract

Many believe a high CGPA (Cumulative Grade Point Average) correlates with better employment opportunities. This belief stems from the idea that a high CGPA reflects a student’s dedication, intelligence, and ability to perform well under academic pressure, qualities often valued by employers. However, it is also recognized that practical skills, experience, and personal attributes play crucial roles in securing a job. Is a high CGPA enough of a metric to open job opportunities? To address this question, the study analyzes the relationship between alumni's Cumulative Grade Point Average (CGPA) and employment prospects. The research was conducted at the American University of Kurdistan (AUK), and the data was obtained from the Admissions and Registration and the Office of Advancement. The goal is to understand whether academic performance, as measured by CGPA, significantly influences the employability of graduates in the architectural engineering field. Thus, the study employs a robust methodology, using Bayesian Correlation to provide substantial evidence per the guidelines requested by the New England Commission of Higher Education (NECHE). The data involves a review of academic records and survey responses to employment data from AUK's architectural engineering alumni. Findings suggest a negative anecdotal correlation between CGPA and employment, indicating that students with higher CGPAs do not necessarily secure employment in their field of study soon after graduation.