This study focuses on developing a Fuzzy Inference System (FIS) to ensure the selection of qualified students for UiTM Actuarial Science Diploma program. The FIS simplifies the process for applicants by providing clear and immediate feedback on whether they meet the requirements for the program. This helps prospective students understand their eligibility, reduces uncertainty and streamlines the application process by offering a more transparent and efficient evaluation system. This project starts with developing a primary screening that utilizes Google Forms, followed by a final extensive evaluation in the MATLAB Fuzzy Logic Designer App (FLDA). The initiation phase started with a tailor-made Google Form intended to streamline the process of preliminary screening candidates based on the necessary admission requirements set by UiTM. This further reduces the practice of manual errors, ensures efficiency, and gives immediate feedback to the applicants. The second phase involved development and implementation of the FIS to comprehensively evaluate candidates on several criteria including academic performance and co-curricular achievements. Thorough tests and manual calculations have validated the accuracy of the system and showed its reliability in determining the eligibility of candidates. The results confirm that the FIS is effective in accurately evaluating and identifying qualified candidates for UiTM Actuarial Science Diploma program. This study highlighted the potential of fuzzy logic in addressing ambiguities in educational assessments and suggested extending this to other academic programs at UiTM to promote inclusiveness and improve decision making.