Author(s)

Chengqiang Wang ¹, Xiangqing Zhao ¹, Zhiwei Lv ¹, Hongyao Jiang ²

Affiliation(s)

¹ School of Mathematics and Physics, Suqian University, Suqian, Jiangsu, 223800, China
² School of Mathematics and Statistics, Qinghai Normal University, Xining, Qinghai, 810008, China

Corresponding Author

Chengqiang Wang

ABSTRACT

We investigate the development of the Data Science and Big Data Technology major in local colleges and universities in China, with a focus on enhancing regional service capabilities. The rapid growth of big data technologies has reshaped the demands placed on higher education, necessitating curriculum innovation and competency-based models to prepare students for the evolving digital economy. We discusses key strategies for aligning academic programs with regional needs, including adjusting courses to industry requirements, strengthening Industry-Academia-Government collaboration, and leveraging national policies to mobilize resources. Building on existing research, the paper explores how these strategies can foster regional economic growth and digital transformation. A case study using max-min composition of fuzzy matrices was conducted to evaluate the effectiveness of these strategies. The results reveal that all proposed strategies contribute significantly to the development of the major, with aligning courses with regional industry needs identified as the most effective strategy. The findings underscore the importance of local institutions aligning their curricula with industry demands to cultivate relevant skills and enhance student employability. The study highlights the role of big data programs in supporting local innovation, talent retention, and sustainable economic growth. This research offers valuable insights for other institutions looking to optimize their data science education models in response to regional and national development goals.

KEYWORDS

Big Data Major, Local Colleges and Universities, Regional Service Capability, Higher Education Development, Case Study

CITE THIS PAPER

Chengqiang Wang, Xiangqing Zhao, Zhiwei Lv, Hongyao Jiang, Exploration on the Development of the Big Data Major in Local Colleges and Universities with a Focus on Enhancing Regional Service Capability. Transactions on Comparative Education (2025) Vol. 7: 152-159. DOI: http://dx.doi.org/10.23977/trance.2025.070120.

REFERENCES

[1] Wang C Q, Zhao X Q, Jiang H Y, Hao L. Curriculum optimization for the big data major through Improving the course of Mathematical Modeling oriented toward enhancing college students' professional competencies[J]. Curriculum and Teaching Methodology, 2024, 7 (8), 200-207.
[2] Fu Z M, He X C, He M S. Exploration on the construction of big data major in local colleges and universities under the background of New Engineering[J]. International Journal of Social Science and Education Research, 2022, 5(9), 124-128.
[3] Chen K W. Discussion on the curriculum system of Data Science and Big Data Technology specialty based on OBE concept[J]. The Educational Review, USA, 2023, 7(4), 505-510.
[4] Zhang J, Yang L, Luo T, Huang S, Xia W. Research on curriculum construction in the background of new engineering disciplines --- exploring interdisciplinary training through the foundation course of Data Analysis Technology[J]. Curriculum and Teaching Methodology, 2024, 7(2), 35-40.
[5] Wang C Q, Wu Q X, Zhao X Q, Lv Z W. Enhancement of innovation competence of college students majoring in Mathematics Education through curriculum optimization[J]. Journal of Contemporary Educational Research, 2024, 8(10), 83-89.  

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