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What is the big data major?
The courses that big data majors need to learn include mathematical analysis, advanced algebra, introduction to general physical mathematics and information science, data structure, introduction to data science, introduction to programming, programming practice, 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.

In addition, big data majors also need to learn the courses of object-oriented programming, Hadoop practical technology, data mining, machine learning, data statistical analysis, advanced mathematics, Python programming, JAVA programming, database technology, Web development, Linux operating system, big data platform construction and operation, big data application development, visual design and development.

Big data major aims to train students to master data management and data mining methods systematically, and become a senior 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.

In short, big data majors need to learn many courses, covering a wide range, requiring students to have a solid foundation in mathematics and computer, as well as strong learning ability and practical ability.