The program is very good, and the employment prospects are very optimistic. Graduates of the big data technology and application program can work in government agencies enterprises companies and other companies engaged in big data management research and application development and other aspects of the work.

The big data major is more like the computer science major in that it is practice-oriented. Students need to write programs independently, modify and debug them, and need to pay attention to every detail to check for errors and run the program smoothly.

Simply put, this major is based on big data as the core research object, supported by mathematics, statistics, computer-related knowledge, big data discovery, collection, processing, computing, analysis, application. It can be said to be a cross-cutting discipline without compromise. This is a new engineering specialty, and in line with the national strategy, in line with the development needs of the information age, requires a large pool of talent.

The most advantageous thing about big data is that he can analyze, even if the experience may not be able to understand the business opportunities and future development, with the help of such characteristics, so big data technology is widely used in various industries to solve the problems in specific areas. For the university to train students point of view, we also need to understand a situation is that the opening of the time after all short, each university is also groping forward, there will be constant adjustment and breakthroughs, of course, the training direction will also be combined with their own characteristics of the training, but the essence of this discipline is still from the structure of the professional knowledge of mathematics, statistics and computer-related content.

Some of the characteristics of big data, big data can do full-sample survey rather than sampling, before because of the cost, the conditions of technology, it is not possible to do a full-sample survey, can only do sampling, but now the technology is developed, we can analyze a large amount of data through statistical analysis of the correctness of information we want to try to be as high as possible; and is a very fast and efficient way to make decisions in seconds. For example, if you search the Internet, how is Beijing University, you may be able to find thousands of answers, but which is the most effective information, you have to need to judge for yourself; and then there is the focus on analysis of correlation, not causality, for example, such as a supermarket, drinks sold well when the umbrella sold well, drinks sold poorly when the umbrella sold bad, he does not study the reasons, but to go to the cause of the sale, and then to the cause. Instead of studying the cause, he goes and analyzes the correlation to come up with data to provide to the supermarket for timely restocking.

Then big data can be divided into data acquisition, data management, data application and other segments.

Data acquisition is the most basic, such as the collection of a lot of weather information, the results of the analysis can be utilized to crop cultivation, aviation systems, etc.;

That access to information is very much picture, text, video, audio, etc., need to be management, a single computer is no way to complete the task.


Management, a single computer is no way to complete. Here to involve a core concept of big data is distributed storage, the overall network to mobilize the storage devices, while clustering processing. A big data service center, the daily power consumption is very impressive, computing these data is the need for thousands, hundreds of devices are involved.

For the application of big data, it is too wide, the earliest use of big data for marketing can be said to be the e-commerce industry, analyzing the data to derive the consumer's purchasing habits, the production of materials in advance of the material supplies, analyzing the prediction of fashion trends, consumer trends, and so on; and then, for example, you if you watched the video of me, after the article, the system will be given to you to carry out some relevant content recommendations; and then include the application of municipal transportation, can effectively solve the problem of traffic jams; and then include the medical field, the financial field, unmanned driving and so on. It can be said that all aspects are inseparable from the support of big data.