Empowering the Future: An In-Depth Investigation of Computer Science Graduate Employability Cognitive Factors

This study investigates the cognitive factors influencing computer science graduates' employability through a two-phase approach, involving data collection from 562 students and exploratory factor analysis (EFA) of 30 variables. Sample adequacy was confirmed, and principal component analysis (PCA) revealed six factors accounting for 78.925% of total variance. Varimax rotation identified the factors as: 1) problem-solving and decision-making skills, 2) knowledge of contemporary issues, 3) competence in specific engineering disciplines, 4) knowledge of science and engineering principles, 5) competency, and 6) engineering system approach. High internal consistency was found for each factor. The results offer valuable insights for educational institutions and employers to enhance skill and knowledge development in computer science graduates.