Statistical Prediction Application on the Enrollment Decline of the Electronics Engineering Program in the Philippines

The enrollment of a specific course/program is vital data as it interprets what different Universities and Collegiate schools excel from. The Electronics Engineering program is one of the engineering programs offered by many Universities and Collegiate Schools. Some of those who excel in that specific program experience a downtrend of enrollees. Therefore, this paper focuses on determining what factors may contribute to the decline of enrollees in the ECE program. The study used different statistical approaches and an applied Neural Network for predicting the possible course outcome of the enrollees of the ECE program. The study used different statistical approaches to identify variables that correlate to the decline of enrollment in the ECE program. An applied Neural Network for predicting the possible course outcome of the enrollees of the ECE program was also done by using Neural Prophet. in addition, a survey is also conducted to gather personal reasons as to why enrolling not enrolling in ECE programs is their choice.