Author(s)

Chengqiang Wang ¹, Xiangqing Zhao ¹, Zhiwei Lv ¹, Wang Fang 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

Acknowledging the significance of big data and its technology, an increasing number of colleges and universities in China, as with colleges and universities worldwide, have established majors related to this field. With experience in educating these majors and facing emerging challenges, optimizing the curriculum for big data-related majors has become essential. To enhance students' readiness for the job market, colleges and universities in China have collectively agreed to implement curriculum optimization strategies, at the same time, they found that enhancing key courses is a highly effective approach to achieving this goal. As a consequence, examining strategies to enhance the curriculum for big data-related majors by improving key courses is highly important. This paper explores and analyzes strategies for optimizing the curriculum of Data Science and Big Data Technology by enhancing key courses, using Mathematical Modeling as an example. Our goal is to strengthen college students' professional capabilities. Based on our research, we introduce a set of strategies to improve and optimize the Data Science and Big Data Technology curriculum. These strategies aim to align educational objectives with industry demands, thereby promoting the development of essential technical and analytical capabilities in data science and big data analytics among college students. An empirical study is carried out through a quantitative analysis of teaching data in Data Science and Big Data Technology. The results validate the effectiveness of the proposed strategies.

KEYWORDS

Curriculum Optimization, Big Data Education, Mathematical Modeling, Professional Capabilities, Higher Education Improvement

CITE THIS PAPER

Chengqiang Wang, Xiangqing Zhao, Zhiwei Lv, Wang Fang, Curriculum Optimization for Big Data Majors: Enhancing College Students' Professional Capabilities through Mathematical Modeling Course Improvement. Curriculum and Teaching Methodology (2025) Vol. 8: 99-107. DOI: http://dx.doi.org/10.23977/curtm.2025.080314.

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] Li X D, He X C, Huang X, Zhang K. Practice of curriculum construction based on mobile big data technology integrating ideology and politics into innovation and entrepreneurship education[J]. Transactions on Comparative Education, 2024, 6(2), 44-55.
[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.

Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education