Employment prospects are mainly engaged in big data technology, big data research, data management, data mining, algorithm engineering and application development in IT enterprises. The salary is about 6k to 8 K.

First of all, professional introduction

The major of Big Data Management and Application aims to cultivate high-level compound talents who master the knowledge and skills in big data mining, big data management and big data analysis, and can work and learn in data analysis, mathematical modeling and artificial intelligence.

The major of Big Data Management and Application integrates the knowledge of computer science, digital media, statistics, management science and other interdisciplinary fields such as computer science and technology, information and communication engineering, management science and engineering, aiming at cultivating applied talents to meet the needs of the information age.

Second, the employment prospects

Big data management and application is a very popular major. At present, there is a huge demand for big data in various industries, so the employment prospects of big data management and application majors are very broad. Major financial institutions, companies and government departments are increasing the demand for big data talents, which provides a wide range of employment opportunities for students majoring in big data management and application.

In the financial industry, data analysis has become an important means of valuation and risk analysis. Investment banks, securities, insurance, funds and other financial companies need to widely use data mining, data analysis and other technologies. In e-commerce, online marketing, intelligent logistics and other fields, data scientists are also urgently needed talents.

Third, the curriculum.

The curriculum of big data management and application specialty generally includes theoretical courses such as big data technology, data mining, computer network, database principle, information security, algorithm design, and practical courses such as enterprise data analysis, big data processing experiments and projects, and data visualization.

Fourth, the focus of learning

When learning big data management and application, students need to master database language and data processing technology, deeply understand the application and development of data mining algorithms, learn big data processing and analysis tools, including big data frameworks such as Hadoop and Spark, and have the ability to use machine learning and artificial intelligence technology.