2. Big data technology aims to train students to master data management and data mining methods systematically, and become a high-level professional big data technical talent with the ability of big data analysis and processing, data warehouse management, comprehensive deployment of big data platform, application software development of big data platform and visual display and analysis of data products.
Basic courses include: mathematical analysis, advanced algebra, data structure, introduction to data science, introduction to general physical mathematics and information science, introduction to programming, programming practice, etc.
Compulsory courses include: discrete mathematics, probability statistics, algorithm analysis and design, data computing intelligence, introduction to database system, computer system foundation, parallel architecture and programming, unstructured big data analysis and so on.
Elective courses include: introduction to data science algorithm, special topics of data science, practical basis of data science, practical development technology of Internet, sampling technology, statistics, regression analysis, stochastic process analysis, etc.
As can be seen from the above courses, big data majors need math skills very much. Deep big data expertise lies in data models and algorithms, while shallow big data expertise lies in the development and implementation of related technical tools and programs!