The existing subsidy system for poor students in universities is characterized by outdated identification methods, lack of subsidy efficiency, and the lack of development of recipients. With the introduction of big data technology, the rationalization of subsidy methods and the establishment of psychological education and skills cultivation mechanisms, Make the process of accreditation more accurate, the funded projects more reasonable and the forms of assistance more diversified, so as to build an "precise" subsidy system, which not only guarantees fairness of education but also maximizes the use efficiency of social resources.