[Purpose/Significance] Rapid-growing digital society is facing severe shortage of data science professionals and other talents with digital literacy. Undergraduate education is the crucial stage to cultivate students’ data awareness, train their relevant skills, and cultivate interdisciplinary talents. The undergraduate data science education in American world-class universities started relatively early, which has certain enlightenments and references for China. [Method/Process] By combing the school’s official website information, American official reports and corresponding documents, this paper made a case analysis on the practice of many world-class universities in America, and summarized the construction path, system characteristics and development trend of data science undergraduate education in case universities. [Result/Conclusion] Case universities in America have initially formed an undergraduate data science education ecosystem covering general education, professional education, and supplementary courses. It has the system characteristics of combination of general education and specialized education, interdisciplinary intersection, integration of theory and practice, and openness and coordination, and presents a development trend towards integrated curriculum system, flexible sharing platform and standardized evaluation system. The practice of undergraduate data science education project in American world-class universities has a certain reference value for China.
Sun Chiyao
,
Liu Ji'an
,
Xu Yanru
. Undergraduate Data Science Education System of American World-Class Universities: the Construction Path, System Characteristics and Development Trend[J]. Library and Information Service, 2022
, 66(8)
: 134
-143
.
DOI: 10.13266/j.issn.0252-3116.2022.08.014
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