摘要
国内已经获批"数据科学与大数据技术专业"的高校多达280所,但是由于概念不清,定位不明确,多数院校的人才培养目标及课程设置大而统。文章界定大数据产业中的不同角色,以该专业的一个主要方向——大数据工程教育为例,研究如何正确把握人才培养定位、科学地设置课程,给出了培养数据工程师途径的实例。最后,指出了大数据工程教育将要面对"有大数据可用","高校必须与数据企业合作"等主要问题的挑战。
There are up to 280 colleges and universities in China whose the specialty provisions of Data Science and Big Data Technology Major have got approved. But due to the conception-confusing, orientation unclear, for most of colleges and universities their professional training goals and curriculum setting are large and unionized. This paper defines the different roles in big data industry, and take one of the main research branches in this major, big data engineering education as an example to discuss how to correctly form the orientation of talent cultivation and scientifically lay out the curriculum. Also, an illustration of the way to train data engineers is presented. Finally some challenges to be faced for big data engineering education, such as the problems of "big data is available","universities must cooperate with data enterprises", and other major problems are pointed out in this paper.
出处
《高教学刊》
2019年第12期76-77,81,共3页
Journal of Higher Education
基金
湖北工程学院教学研究项目"大数据工程教育之统计学与计算机科学融合研究"(编号:201729)
关键词
大数据工程
人才培养定位
跨学科融合
数据分析技能差异
课程体系改革
big data engineering
the orientation of talent cultivation
interdisciplinary integration
skill differences in data analysis
curriculum system reform