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What are the main courses of big data major?
Basic courses: mathematical analysis, advanced algebra, introduction to general physical mathematics and information science, data structure, introduction to data science, introduction to programming and programming practice. Compulsory courses: 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.

What is the major of data science and big data technology?

It is an interdisciplinary subject: statistics, mathematics and computer are the three supporting disciplines; Biology, medicine, environmental science, economics, sociology and management are applied and expanded disciplines. In addition, you need to learn data acquisition, analysis and processing software, mathematical modeling software and computer programming language. The knowledge structure is a cross-border talent (with professional knowledge and data thinking).

What is the demand for talents in data science and big data technology?

According to the LinkedIn 20 16 China Internet Hottest Personnel Report, R&D engineers, product managers, human resources, marketing, operation and data analysis are the most needed positions in the nursing Wang Wan industry in China. At present, there are 300,000 data talents in China. It is estimated that in 2065, the demand for big data talents will increase substantially in 438+08, and the gap of high-end talents such as big data scientists will be between140,000 and190,000. The gap between analysts and managers who know how to use big data to make decisions has reached 654.38+0.5 million, and the demand for data analysts is very strong now. The monthly salary of a data analyst with two years' working experience can reach 8K, that of a master's data analyst can reach 654.38+02 K, and that of a data analyst with five years' working experience can reach 400,000-600,000 yuan.

It is suggested to avoid the above shortcomings and formulate and implement corresponding solutions. For example, before applying for the exam, the assessment is whether you can find an ideal position in the big data industry after graduating from the target institution. Colleges and universities generally set up majors according to the economic development needs of the service areas, and previous graduates generally have corresponding employment opportunities; According to the future career plan, I will be initially designated as an initial position, and refine related disciplines through elective courses and training during my college years to lay a solid foundation; To evaluate the strength of opening majors in open universities, some seemingly ordinary universities and big data industry enterprises jointly run schools, and their strength should not be underestimated. For example, the "Guizhou Institute of Technology-Alibaba Big Data College" jointly established by Guizhou Institute of Technology and Alibaba Cloud plans to train 1000 big data professionals for Guizhou Province within five years. Huanghe Science & Technology has carried out exchanges and cooperation with Chinese Academy of Sciences, Yunhe Data, China Popular Science Development and other well-known big data-related research institutions and companies, and established a joint laboratory in the school. Candidates can also cross-major graduate students in related majors (such as applied statistics), which can achieve quick entry, but they should also pay attention to the latest development of the industry and pay attention to bridging the ability gap.