数字图书馆论坛Issue(5)：38-45,8.DOI:10.3772/j.issn.1673-2286.2018.05.006
美国数据科学硕士专业培养要求与课程设置研究
Research on Training Requirement and Curriculum of Master's Degree in Data Science in United States
摘要
Abstract
This paper chooses 18 colleges and universities with a master's degree in data science in the United States as the research object, and uses the literature research method, the network research method and the content analysis method, analyzes the training requirement and curriculum, and summarizes five features: the number of courses varies greatly, compulsory courses focus on technology and application, elective courses for specific areas, interdisciplinary and multidisciplinary cross-training, a variety of teaching methods. From the four aspects of personnel training mode, curriculum system construction, teaching and assessment methods, school and enterprise cooperation for China's data science master professional construction to provide recommendations.关键词
数据科学/课程设置/人才培养/硕士专业/专业建设Key words
Data Science/Curriculum/Personnel Training/Master's Degree/Major Construction分类
社会科学引用本文复制引用
曹高辉,胡紫祎,郭家乐,王艳凤..美国数据科学硕士专业培养要求与课程设置研究[J].数字图书馆论坛,2018,(5):38-45,8.基金项目
本研究得到湖北省高等学校省级教学研究项目(编号:2017039)和中央高校科研业务费专项基金项目(编号:CCNU16A02035)资助. （编号:2017039）
