基于OBE的数据科学与大数据技术专业建设与实践

Construction and Practice for the Major of Data Science and Big Data Technology Based on OBE

为解决我国大数据时代面临的人才短缺问题,通过增设数据科学与大数据技术本科专业,培养大量高素质大数据人才,推动大数据产业的深层次内涵发展。由于数据科学与大数据技术专业尚处于建设初期,专业建设面临诸多难题。为此,尝试将OBE理念引入数据科学与大数据技术专业建设中,结合地方、高校特色构建OBE学习成果评价、培养目标、课程体系、师资队伍和实践平台“五位一体”的专业建设模式。实践表明,该模式取得了良好的应用成效,对大数据人才培养模式革新具有积极的示范作用。

To address the talent shortage faced by China in the era of big data,the establishment of undergraduate majors in data science and big data technology aims to cultivate a large number of high-quality big data talents and promote the deep connotation development of the big data industry.Due to the fact that the data science and big data technology majors are still in the early stages of construction,the professional construction faces many challenges.To this end,we attempt to introduce the OBE concept into the construction of data science and big data technology majors,and combine local and university characteristics to build a"five in one"professional construction model of OBE learning achievement evaluation,training objectives,curriculum system,teaching staff,and practice platform.Practice has shown that this model has achieved good application results and has a positive demonstration effect on the innovation of big data talent cultivation mode.