Análise da transição profissional dos egressos do curso de graduação em Ciência da Computação da Universidade Federal de Campina Grande.

Abstract

The transition of university graduates into the labor market is a central issue in higher edu cation, particularly in dynamic fields such as Computer Science. This study investigates the extent to which elective courses taken during undergraduate studies influence the professio nal insertion of graduates from the Computer Science program at the Federal University of Campina Grande (UFCG), Brazil. A quantitative analysis was conducted using academic data from 352 graduates, along with professional information from 263 of them. The K-Means algorithm was applied to segment both academic and professional profiles, followed by correlation analyses to explore the relationship between curricular choices and employability factors such as time to first employment, work modality, and company size. The results indicate that academic clustering revealed three main profiles: development (DEV), development with artificial intelligence (DEV+AI), and development with infras tructure (DEV+INFRA). While certain electives were associated with specific career paths, the analysis of professional clusters suggests that employability is more strongly influen ced by external factors, particularly work modality (remote/hybrid) and the time until first employment, with remote and hybrid work prevailing. The study concludes that curricular choices shape tendencies in the transition to the labor market but do not directly determine professional outcomes. Employability depends on a broader set of factors, including transversal skills and practical experience. These findings may inform educational policies better aligned with the demands of the technology sector. Keywords: employability, university graduates, Computer Science, elective courses, data analysis, career transition.