Research on Curriculum Optimization for Big Data Major Based on Digital Intelligence Technologies

Junnan Hu; Busheng Li; Yan Zhao; Zihui Hu

doi:10.6918/IJOSSER.202508_8(8).0030

Authors

Junnan Hu
Busheng Li
Yan Zhao
Zihui Hu

DOI:

https://doi.org/10.6918/IJOSSER.202508_8(8).0030

Keywords:

Big Data Major; Curriculum Optimization; Digital Intelligence Technologies; Educational Strategies.

Abstract

In recent years, the rapid advancement of big data technology has led to a significant surge in the demand for professionals who specialize in this field within society. As a result, educational institutions are facing the critical challenge of how to effectively adapt and update their curriculum systems for big data majors to keep pace with the swiftly evolving market requirements. This paper seeks to delve into this issue by examining the current state and existing challenges within the realm of big data education. Furthermore, it aims to integrate the latest trends in artificial intelligence, machine learning, and cloud computing to propose a comprehensive set of strategies for curriculum optimization. The primary objective of these strategies is to equip big data professionals with enhanced practical skills, robust innovative capabilities, and a competitive edge in the job market, thereby ensuring they are well-prepared to meet the demands of an ever-changing industry landscape.

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