In order to improve the success rate of entrepreneurship of college students, it is necessary to establish a success rate evaluation model to analyze the success rate of entrepreneurship and make the optimal discrimination. However the current models failed to reach high accuracy due to the lack of factors set. To this end, this paper proposes a college students’ entrepreneurial success evaluation model based on big data analysis, which is based on ambiguity comprehensive evaluation theory. Through building the evaluation factors set, calculating the relative impact of indicators, giving relative weights ratio of factors, and using data analysis. The experimental simulation results show that the model has high evaluation accuracy, and therefore has practical significance in improving the success rate of college students’ entrepreneurship.