Data science and big data majors need to go to graduate school, big data is still in the early stages of the application of the landing, the demand for talent is still dominated by R & D type.

Big Data is a field where data valorization is the core demand, and graduate school is an effective way to enhance the ability to valorize it. Big Data is not the goal, but the application of Big Data is the goal, and Big Data is ultimately pointing to Artificial Intelligence, which is a way to build a more complete knowledge system.

Data science and big data technology is mainly the study of computer science and big data processing technology and other related knowledge and skills, from the three main levels of big data applications, to analyze and solve practical problems.

For example, today's headlines match information content that individuals prefer through algorithms, Taobao makes product recommendations based on data such as consumers' daily purchasing behavior, and electronic maps plan optimal routes for vehicles based on data on passing traffic conditions.

Data science and big data professional examination direction:

Big data system research and development class, big data application development class and big data analysis class, software engineering, computer science and technology, applied statistics.