1. The teaching system of data science and big data technology covers core theories and technologies such as the discovery, processing, operation and application of big data. Specific courses include: mathematical analysis, analytic geometry, advanced algebra, ordinary differential equations, mathematical modeling, mathematical statistics and other mathematical professional courses. And introduction to big data, big data storage and management, big data mining, machine learning, artificial intelligence foundation, Python programming, statistical learning, neural network 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, advanced language programming, optimization theory and methods, etc.

2. This major aims to cultivate high-level compound talents with big data processing and analysis ability urgently needed by the society. Specifically, it includes: mastering the basic theories, methods and skills of computer science, big data science and information technology, receiving systematic scientific research training, having certain big data scientific research ability and basic ability of data engineering implementation, mastering the planning, application, management and decision-making methods of big data engineering projects, and having the design, research and implementation ability of big data engineering projects.