Abstract: One mathematical way was introduced in this article to study and analyze the factors that affect the local university tuition．It was brought forth that principal component analysis (PCA) and BP neural network were confirmed to create a mathematical model to analysis the 7data of 31provinces or province-level municipality．The results of PCA indicated that the first 3principal components accumulated contribution rates to 87.39% which showed that the first 3principal can express all the information．It used the first 5data as the input data of BP neural network in order to improve accuracy further,and the provincial tuition as BP network output．After six training sessions,the output error can be reduced to 10－15which basically achieved the full effect of fitting,and also provided a mathematical way to predict further university tuition.

Key words: BP neural network,PCA,Mathematical model,University tuition