Multidimensional Structure Analysis of the Curriculum System of Biological and Pharmaceutical Data Science

Corresponding author: Cui Lei, lcui@cmu.edu.cn

DOI: 10.12201/bmr.202609.00016

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  Abstract: Purpose/Significance: Biomedical data science is an emerging interdisciplinary field, and the curriculum system urgently needs systematic construction. This paper reveals the current situation and characteristics of the curriculum system of this major through empirical analysis, providing a basis for standardizing the construction of the major and optimizing the curriculum. Method/Process: Taking 25 universities nationwide that offer the program as the survey subjects, we collected the names of compulsory courses from 22 universities and course hour data from 15 universities. According to the ''National Standard of Discipline Classification and Codes of the People''s Republic of China,'' the courses were classified into 13 major disciplinary categories. Quantitative analysis was conducted from three dimensions: disciplinary distribution, university-discipline bidirectional clustering, and core courses, and a structural comparison was made with the Data Science and Big Data Technology major.Result/Conclusion: Since 2020, the number of institutions offering the program has grown rapidly, mainly public institutions in East China and Northeast China. The curriculum system has formed three main pillars: Computer Science and Technology (46.82%), Mathematics and Statistics (17.84%), and Biology and Basic Medicine (14.41%). Institutional clustering shows two orientations: a medicine-balanced typeand a computer-dominant type. The offering rate of core courses exceeds 80%, but problems such as superficial interdisciplinary integration and inconsistent curriculum standards exist. The results indicate that the curriculum system of this major has been initially formed but is not yet mature. It is recommended to add integrated core courses and establish curriculum standards.

  Key words: Biomedical Data Science; Curriculum System; Discipline Distribution; Bidirectional Clustering; Core Courses

  Submit time: 9 September 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  1	2026-03-31	10.12201/bmr.202609.00016V1	Download

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