[目的/意义]快速发展的数字化社会面临着数据科学专门人才和具备数据素养的其他人才的巨大缺口,而本科教育是培养学生数据意识、锻炼相关技能、培养复合型人才的关键阶段。美国一流大学本科阶段的数据科学教育起步相对较早,对我国具有一定的启示借鉴意义。[方法/过程]通过梳理学校官网信息、美国官方报告和相应文献,对美国多所一流大学实践情况进行案例分析,总结案例高校数据科学本科教育的建设路径、体系特征和发展趋势。[结果/结论]美国案例高校已经初步形成涵盖通识教育、专业教育和补充课程的本科数据科学教育生态体系,具有通专结合、多学科交叉、理实融通、开放协同的体系特征,并呈现向整合课程体系、灵活共享平台、规范化评估系统发展的趋势。美国一流大学本科生数据科学教育项目的实践对我国具有一定的参考价值。
[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.
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