我国高等院校大数据人才培养课程设置研究

Research on the Curriculum System of Big Data in Chinese Colleges and University

本研究通过分析大数据的技术体系,来探明我国高等院校大数据人才培养的课程设置。研究综述了大数据技术发展状况及其对人才的需求,结合国内外高等院校大数据专业课程设置情况,对9所大学大数据相关专业课程的开设情况进行分析,明确了大数据专业课程设置的特点和存在的问题。最终得出结论:我国高等院校大数据相关专业课程设置不够完整,不能完全契合大数据产业发展对科技的需求。应该按照洪堡式的专才教育模式,开展必修、选修、辅修、实验、实习、讲座等不同课程形态,按照科学、技术和应用与实务3个方向全面开设课程,加强课程建设与开放共享,满足学生多元化的需求。

By analyzing the technical system of big data,exploring the curriculum system setup of big data in Chinese colleges and universities.The research summarizes the development of big data technology and its demand for talents,combining the establishment of big data curriculum system in colleges and universities at home and abroad,this paper analyzes the situation of Chinese big data related curriculum system in the 9 colleges and universities,and put forward the characteristics and problems of big data curriculum system.The curriculum of big data related majors can't fully meet the demand for big data industry in Chinese universities.The contents of Multi-level big data courses of University are rich and diversified,which composed by six parts:required course,selective course,minor course,experimental,practical,lecture and so on.According to the three directions of science,technology,application and practice,a comprehensive course is offered.Strengthening curriculum construction,introducing and opening up and sharing,to meet the diversified needs of students.