Researchers
JONEIL G. PONTEJOS, DR. ROEL P. BALAYAN, JANELIE C. BELGICA (Student), ANGELA MAE D. HUERA (Student)
This study investigated the employability of Bachelor of Science in Mathematics (BSM) graduates from the Eulogio \"Amang\" Rodriguez institute of Science and Technology (EARIST), specifically the classes of 2019 to 2023. The research aimed to assess graduates\' employment status, competencies acquired during college, professional satisfaction, and challenges encountered in transitioning to the workforce. Guided by Human Capital Theory and Career Development Theory, the study employed a descriptive research design, utilizing a validated survey questionnaire distributed to 57 respondents through snowball sampling.
Findings revealed that 91.2% of the respondents were employed, with most holding regular positions (77.8%) and working locally (98.2%). Nearly half (51.9%) were employed in jobs directly related to their degree, with recent graduates showing higher alignment between academic training and professional roles. However, varying perceptions of preparation emerged; while 40.4% of graduates felt adequately prepared, 45.6% reported. inadequacy, particularly in applied and technical skills. Graduates identified logical thinking, analytical reasoning, and communication as useful competencies, but emphasized the growing demand for supplementary skills such as programming, data science, and software proficiency.
Professional satisfaction was moderate to high across dimensions such as job security, work environment, and opportunities for advancement, though challenges included limited career mobility, underemployment, and skill mismatches. Statistical analyses showed no significant differences in skill usefulness and professional satisfaction across graduate cohorts but indicated a positive correlation between skill application and job satisfaction.
The study concludes that while BSM graduates demonstrate strong adaptability and employability, curriculum enhancements are needed to strengthen industry alignment, particularly in technology-driven sectors. Recommendations include integrating applied computer training, fostering industry partnerships, and expanding experiential learning opportunities to enhance graduates\' readiness for diverse career pathways. These findings provide actionable insights for academic institutions, policymakers, and stakeholders to refine educational programs and support workforce transition.