What is the professional category of data science and big data technology?

2020 College Entrance Examination Voluntary Filling, Big Data Professional Interpretation.

Big data has been widely used in daily life, and it can be said that the most valuable resource of an enterprise is data"Data Science and Big Data Technology"Major, see if this major is your thing.

The future development prospects of the big data industry are very broad, from the industrial chain of the big data industry involves DAO to multiple links, including data collection, data data collation, data storage, data security, data analysis, data application, etc., so the employment positions in the field of big data are also relatively rich, among which data collation and data analysis related positions are more suitable for female students.

The major of Data Science and Big Data Technology aims to cultivate high-level interdisciplinary talents with big data processing and analysis capabilities that are urgently needed by society. It has been particularly popular in recent years.

The Internet economy is booming, network self-security and big data are on fire, and the newly approved undergraduate majors in universities directly under the Ministry of Education are full of words like "big data" and "network security". Such related majors account for about 1 3 of the new majors under this entry. The major of data science and big data technology is a new major in the country, and the first batch is only Peking University, Central South University and foreign countries.

Big Data Technology and Applications.

Bai Zhuan Du

The industry is a new hundred"Internet+"For example, Wisers Education Group and Zhizhi University of Foreign Economic and Economic Affairs, Beijing University of Aerospace, Guizhou University, South China University of Technology, Guangdong Open University, Yichun University, etc., have cooperated to open large data technology and application majors or related majors.

I majored in this major, and most of the schools belonged to computer science, mainly as a programmer. But it's better not to go, there are very few jobs and the competition is fierce.

According to the three majors involved in the subject's question, they are distinguished from the following dimensions: 1. Different levels of education: among them, big data management and application, data science and big data technology are all undergraduate majors.

Big data technology and application is a major for higher vocational (i.e., junior college). Their subjects** are different, and students need to distinguish them when applying for the exam. Second, the type of profession is different:

Big data management and application, data science and big data technology are different in different colleges and universities, because the actual situation of the colleges and universities is different, and the situation of the colleges and universities where the relevant majors are located is also different. Among them, big data management and application belong to both arts and sciences in most undergraduate colleges, and even the boring major of some colleges and universities itself belongs to finance or management, such as: **The counterpart department of the big data management and application major of the University of Finance and Economics is "management science and engineering", and you can understand the professional state as liberal arts or management in the type of major.

Data science and big data technology are typical science majors. Usually opened in the computer school of undergraduate colleges, or the ** University of Finance and Economics mentioned above, his data fan Soufeng science and big data technology major belongs to the "computer class". Big data technology and applications are mostly opened.

Student graduates can be engaged in big data governance, research, application development, etc. in ** institutions, enterprises, companies, etc. At the same time, you can take the software engineering university imitation program.

Computer Science and Technology, Applied Statistics.

and other majors or go abroad for further study. There are many employment directions, and the salary package is also very good. Specific employment directions for data science and big data technology majors.

1.Big Data Systems Architect.

Big data platform construction, system design, infrastructure.

2.Big Data Systems Analyst.

For the actual industry field, the use of big data technology is clever for data security.

Lifecycle governance, analytics, and applications.

Development Engineer.

Solve the problem of big data reserves.

4.Data Analyst.

Professionals who specialize in collecting, collating, and analyzing industry data in different industries, and making industry research, evaluation, and guesses based on data. In the work, through the use of tools, extract, analyze, and generate data, to achieve the business meaning of data.

As a data analyst, you need to be proficient in at least one of the data analysis software such as SPSS, Statistic, EVIEWS, SAS, Big Data Magic Mirror, at least be able to use ACESS for database development, at least grasp the dust imitation key of a mathematical software such as Matalab, Mathmatics for the construction of new models, and at least grasp a programming language.

In short, a good data analyst should not be left behind in business, governance, analysis, tools, and design.

1. Data science and big data technologyUndergraduate major, Nu Tachibana is referred to as data science or big data.

2. Big data technology and applicationMajors in higher vocational colleges.

Dawu Lead Data Major emphasizes interdisciplinary characteristics, takes big data analysis as the core, and statistics, computer science and mathematics as the three basic supporting disciplines, and cultivates compound talents for multi-level application needs.

Data science and big data technology belong to the computer science major. The teaching system of ZHI course covers the core theories and technologies of discovery, back processing, operation, and application of big data DAO, and the specific courses include: Introduction to Big Data, Big Data Storage and Management, Big Data Mining, Machine Learning, Artificial Intelligence Basics, Python Programming, Statistical Learning, Neural Networks and Deep Learning Methods;

Multi-information processing, data visualization technology, intelligent computing technology, distributed and parallel computing, cloud computing and data security, database principles and applications, algorithm design and analysis, high-level language programming, optimization theory and methods, etc.

This program is one of the youngest undergraduate majors, and it has only been established for 4 years.

In 2016, three universities were approved: Peking University, University of International Business and Economics, and Central South University.

In 2017, 32 universities were approved to add a new major in "data science and big data technology".

In 2018, the major showed a first-class growth.

On March 21, 2018, the Ministry of Education released the "2017 Filing and Approval Results of Undergraduate Majors in Ordinary Colleges and Universities", which showed that data science and big data technology became one of the majors with the most applications that year, and 248 colleges and universities were approved, accounting for 1 3 of the applied universities.

2020 College Entrance Examination Voluntary Filling, Big Data Professional Interpretation.

Data Science and Big Data Technology: How to Understand the Big Data Era?

Data science and big data technology belong to the IT Internet, and now big data is a very good major, with high salary and strong technology, so there are many people who learn big data.

It belongs to the computer, and the Internet IT can come and take a look.

If you want to quickly enter the big data industry, participating in big data training is also a good choice.

Before 2017, it belonged to computer science and technology, but according to the new catalog of the Ministry of Education in 2018, it belonged to electronic science and technology, right?

Big data technology is a comprehensive technology involving multiple disciplines, which can cover multiple disciplines such as computer science, statistics, data analysis, artificial intelligence, and mathematics. Therefore, big data technology can be classified into the following categories of specializations:

Major in Computer Science and Technology.

The core of big data technology is data processing and analysis, and a lot of the work relies on computer technology. Therefore, computer science and technology majors are one of the main disciplines of big data technology. Computer science and technology majors include computer science and technology, software engineering, network engineering, information security, etc., which train students to have the basic qualities and abilities of computer technology, and be able to apply computer technology for data processing, analysis and mining.

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Major in mathematics.

Big data technology requires many mathematical methods, such as probability theory, statistics, linear algebra, optimization theory, and so on. Therefore, mathematics is also one of the important disciplines of big data technology. Mathematics majors include Mathematics and Applied Mathematics, Statistics, Operations Research and Cybernetics, etc., which train students to have the ability of mathematical analysis and modeling, and to be able to apply mathematical methods for data processing and analysis.

Major in Statistics.

Statistics is an important part of big data technology, statistics majors include statistics, applied statistics, biostatistics, etc., these majors train students with a deep foundation in statistics and the ability to analyze data, and can use statistical methods for data analysis and modeling.

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Major in Data Science and Big Data Technology.

With the development of big data technology, more and more colleges and universities have begun to open data science and big data technology majors, which usually include big data technology, data science and big data technology, data science, etc., these majors train students with big data processing and analysis skills, can apply a variety of technologies for data mining and analysis, and also have the basic quality of statistics and computer science.