The Big Data Technology program takes statistics, mathematics, and computers as the three major supporting disciplines; biology, medicine, environmental science, economics, sociology, and management as the applied expanding disciplines. In addition to learning data collection, analysis, processing software, learning mathematical modeling software and computer programming languages.

1, big data technology professional learning courses are: "Programming Fundamentals", "Python Programming", "Data Analysis Fundamentals", "Linux Operating System", "Python Crawling Technology", "Python Data Analysis", "Java Programming", "Hadoop Big Data Framework", Spark Technology and Applications", "HBASE Distributed Database", etc..

2, big data technology major is combined with the national big data, artificial intelligence industry development strategy and set up a new professional, the major for big data applications, mainly learning big data operation and maintenance, collection, storage, analysis, visualization knowledge and technical skills.

3, big data technology and application research direction is the analysis of big data mining and processing, mobile development and architecture, software development, cloud computing, the combination of cutting-edge technology, "Internet +" cutting-edge science and technology professionals. Graduates of the program can be engaged in big data project implementation engineers, big data platform operation and maintenance engineers, big data platform development engineers and so on.

4, the professional aims to train students to systematically master the data management and data mining methods, to become a senior professional big data technology talents with big data analysis and processing, data warehouse management, big data platform integrated deployment, big data platform application software development and data products visualization and analysis capabilities.