1, focus on different: big data management and application of this piece is mainly biased overall data control, data governance more attention is also for this big data technology in the actual scene of the landing and use;

But it will not be on the technology of the specific bottom of the in-depth study, the focus is still on the trend of the whole big data industry, as well as the management process of the data aspects. Big Data Science and Technology focuses on the specific implementation of the underlying technology.

2, the specific content is different: to give a simple example, let's say big data machine learning, big data applications, will focus on different application scenarios to use what kind of algorithm, how to set the parameters.

While the big data science and technology majors, is concerned about the underlying algorithms specific implementation, let's say the decision tree how to achieve these, in addition, how to carry out data cleansing, data storage, how to develop this piece of development, the development of the specific logic, this piece of big data science and technology majors need to go to the implementation of this piece.

3, the goal is different: the goal of big data applications is pervasive intelligence to learn big data, first of all, we must be clear about the goal of big data applications, big data is like a million dollars, like Baidu a few years ago, the box computing, the box what can be loaded into it.

Big Data this box is too big, its ultimate goal is to use a series of information technology to achieve massive data conditions of human depth of insight and decision-making intelligence, and ultimately to the universal human-computer intelligence fusion, which is not only the extension of the traditional information technology management extension, but also the development of human society, management of intelligent core technology driving force.

Data science can be understood as a collection of scientific methods, techniques, and systems for acquiring knowledge from data across multiple disciplines, with the goal of extracting valuable information from data;

It combines the theories and techniques from many fields, including applied mathematics, statistics, pattern recognition, machine learning, artificial intelligence, deep learning, data visualization, and high performance computing, etc.

Expanded Information:

Big Data Management and Applications is designed to cultivate a grasp of the basic theories of management. Familiar with modern information management technology and methods, good at using business data to quantitative analysis, and can ultimately realize intelligent business decision-making comprehensive talents.

The major of Big Data Management and Application is based on the background of Internet+ and Big Data era, and mainly researches the application of big data analysis theory and method in economic management as well as the method of big data management and governance.

The program adheres to the cultivation concept of "thick foundation, broad knowledge, heavy thought, innovation, and combat", adopts the mode of teaching according to students' aptitude, and adopts a brand-new curriculum and teaching system to cultivate senior management talents with an international vision, innovative consciousness, innovative ability and leadership potential.