Abstract: On the basis of depth Analysis about the risk factors of the graduate education informationization, the graduate education informationization risk evaluation index system was set up. According to the fuzziness of the evaluation indexes, fuzzy mathematics and neural network were integrated to construct the fuzzy neural network (FNN) evaluation model. Finally, 12 universities were taken as samples to illustrate applicability of FNN in the application of evaluation on graduate education informationization risk. The results show that the model has good applicability to improve the network after training, postgraduate education can be widely used in information-based risk assessment.