1, data science and big data technology course teaching system covers the discovery of big data, processing, computing, applications and other core theories and technologies, specific courses include: mathematical analysis, analytic geometry, advanced algebra, ordinary differential equations, mathematical modeling, mathematical statistics and other mathematical courses, as well as an introduction to big data, big data storage and management, big data mining, machine learning, artificial intelligence foundation, Python programming, statistical learning, neural networks and deep learning methods, multimedia information processing, data visualization technology, intelligent computing , Python Programming, Statistical Learning, Neural Networks and Deep Learning Methods, Multimedia Information Processing, Data Visualization Technology, Intelligent Computing Technology, Distributed and Parallel Computing, Cloud Computing and Data Security, Database Principles and Applications, Algorithm Design and Analysis, High-Level Language Programming, Optimization Theory and Methods, and other courses.

2, data science and big data technology professional employment direction. Big data system architect: big data platform construction, system design, infrastructure. Big data system analyst: for the actual industry field, using big data technology for data security life cycle management, analysis and application. hadoop development engineer: solve big data storage problems. Data analyst.