Peking University (ranked 1), Tsinghua University (ranked 2nd), Zhejiang University (ranked 3rd), National University of Defense Technology (ranked 4th), Beijing University of Aeronautics and Astronautics (ranked 5th), Beijing University of Posts and Telecommunications (ranked 6th), Harbin Institute of Technology (ranked 7th), Shanghai Jiaotong University (ranked 8th) and Nanjing University (ranked 9th).
As follows:
Data science and big data technology are undergraduate majors in colleges and universities, belonging to computer majors. The academic system is four years, and the bachelor of science/bachelor of engineering degree is awarded. Professional code 0809 10T.
The teaching system of this major covers the core theories and technologies such as the discovery, processing, calculation and application of big data, aiming at cultivating high-level compound talents with the ability of big data processing and analysis urgently needed by society; Can be engaged in IT-related positions, such as big data technology, big data research, data management, data mining, algorithm engineering, etc.
The main courses are data structure, database principle and application, computer operating system, computer network, Java programming and so on. The postgraduate direction of this major mainly includes: big data system research and development, big data application development and big data analysis, software engineering, computer science and technology, and applied statistics.
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, and having certain big data scientific research ability and basic ability of data engineering implementation.
Master the planning, application, management and decision-making methods of big data engineering projects, and have the ability to design, develop and implement big data engineering projects.
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, etc.