Abstract
With the accelerate pace of the reform of higher education, Chinese higher has been from the elite education to popular education”, which brought a series of changes to the object of education, the way of education, educational purpose. While employment of students as an important measure of the effect of our country's higher education, there are more and more domestic universities have taken it to be the ultimate test goal. In this process, how to set up the course system to keep pace with the times has become a hot issue in educational research. In this paper, take salary as an important index to measure the students' employment ability, and through the method of fuzzy neural network for machine learning to construct the model of school courses, professional courses and elective courses contribution degree to employment to study the role of science and engineering courses in the science and engineering graduates employment, hoping to be able to promote the universities curriculum reform, and improve students' learning initiative.
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