It is a valuable research issue to know and increase the college students' employment confidence. It has practical significance to analyzes and predict the employment confidence using the employment confidence index. In this paper, a method was presented to predict the college students' employment confidence index based on gray theory and BP neural network. This method set up different gray models based on the influence factors of employment confidence. And the forecasting results of different gray models are inputted to the neural network. The final forecasting results were obtained according to the neural network. The results show that the combined forecasting model has smaller relative error and higher prediction accuracy.