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What do data science and big data technology do with computers?
Data science and big data technology are unfamiliar to all students. As an interdisciplinary subject, the subject to be studied is very complicated. Statistics, mathematics and medicine all need to be studied, and the job responsibilities will change greatly in the future.

Work direction of data science and big data technology specialty

Graduates majoring in data science and big data technology can engage in big data management, research and application development in government agencies, enterprises and companies. At the same time, you can get a postgraduate degree in software engineering, computer science and technology, applied statistics and other majors or go abroad for further study.

More and more organizations attach importance to data. From the Ministry of National Defense to Internet startups and financial institutions, innovation needs to be driven by big data projects, and there is a lot of work that needs data analysis or processing. Common food manufacturing, retail e-commerce, medical manufacturing and traffic detection also need data analysis and processing, such as optimizing inventory, reducing costs and forecasting demand. Talents are mainly divided into three categories: big data system research and development, big data application development, and big data analysis.

Employment Prospects of Data Science and Big Data Technology Specialty

With the popularity of mobile Internet and smart terminals, the integration of information technology and economy and society has triggered the rapid growth of data. New Moore's Law holds that the total amount of data in human history will double every 18 months. And massive data contains huge productivity and business opportunities.

According to the data analysis committee of China Business Federation, China needs 6,543,800+8,000 data talents in the next three to five years, but up to now, there are only about 300,000 big data employees in China. At the same time, the criteria for selecting talents in the big data industry are constantly changing. At the beginning, the demand for big data talents was mainly concentrated in ETL R&D, system architecture development, data warehouse research and other hardware fields, and most of them were talents with IT and computer backgrounds. With the development of big data in various vertical fields, the demand for statistics and mathematics professionals, data analysis, data mining, artificial intelligence and other software fields has increased.

Therefore, the employment prospects of graduates majoring in data science and big data technology are still very good.

What is your major in data science and big data technology?

The major of data science and big data technology takes statistics, mathematics and computer as 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).

Different colleges and universities offer this major, and the training mode will be different. Some tend to use tools, such as data cleaning, data storage and data visualization. Some students tend to teach the basic knowledge of big data in an all-round way, while in the postgraduate stage, they will specialize in a certain technical field, such as data mining, data analysis, business intelligence, artificial intelligence and so on.