Big Data Management and Application

This major cultivates high-quality professionals for business data analysis, intelligent decision-making, data technology services and other fields

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  • Degree:Management Degree
  • Study mode:Full-time
  • Duration:4 years
  • Belong to:School of Business

Specialty Field:

This is a key construction major aiming at business data analysis, intelligent decision-making, data technology services and other fields. we cultivate high-quality data management professionals to master management, statistics, data technology, etc., with data collection and processing, data system operation and maintenance, data visualization capabilities, etc.

Specialty Features:

  • This major is characterized by the professional situational talent training mode with the post as the core, combining research results with teaching. Students need to complete disciplinary works in this major, and cultivate senior data management professionals through immersive experience, group cooperation, etc.
  • This major sets up digital technology, intelligent business, data application and other courses, and cooperates with the University of Manchester, the University of Kent, the University of Leeds and Lancaster University, offers pre-master courses to cultivate high-level talents.
  • The college relies on the cloud platform to share the experimental training center, big data intelligence laboratory, innovation and entrepreneurship workshop, etc., cooperates with Huawei Technologies Co., Ltd., Beijing Chinasoft International Information Technology Co., Ltd., Zhendao Information Technology (Shanghai) Co., Ltd., Chinasoft Group Co., Ltd., Xindao Technology Co., Ltd., Alibaba Group Holding Co., Ltd. and other companies, builds an off-campus teaching platform for students.

Entry Requirements

  • Students need to take the national college entrance examination, and their scores should pass the provincial undergraduate admission score basic line, and higher scores will be preferred.


  • Year 1

    • Python Advanced Programming
    • Cloud Computing and Big Data
    • Web Application Development
    • Computational Thinking and Applied Technology
    • Business data statistics and analysis
  • Year 2

    • Axure Prototyping
    • MySQL Database Technology and Application
    • Linux System and Big Data Application
    • Web Crawler Technology and Application
    • Blockchain Application Innovation
    • Data Preparation and Feature Engineering
  • Year 3

    • Data Mining and Machine Learning
    • Hadoop Big Data Platform
    • Python Data Analysis
    • Tableau Data Visualization Technique
    • Power BI Business Intelligence
    • Information Security Technology and Application
  • Year 4

    • Graduation Internship
    • Graduation Project

Ability Cultivation

The graduates from this specialty are expected to have the following core competences

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    Data Acquisition and Processing Ability

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    Data System Operation and Maintenance Ability

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    Data Visualization Ability

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    Digital Technology Application Ability



After graduation, students can engage in information management, data system operation and maintenance, digital technology services and other work in industrial and commercial enterprises, financial institutions, Internet and other enterprises and institutions. They can also choose to start their own businesses or enter domestic and foreign universities to study for master's degrees in related majors.


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