应用型本科院校数据科学与大数据技术专业建设思路探索

Exploration on the Construction of Data Science and Big Data Technology Major in Application-oriented Universities

文章分析数据科学与大数据技术专业建设现状,并以萍乡学院为例,指出数据科学与大数据技术专业建设中存在专业培养目标不明确、人才培养模式不完善、课程体系不完整、师资力量不雄厚、实践平台和实践基地建设不健全等问题,提出从明确专业培养目标,理清专业建设思路;完善人才培养模式和课程体系,加强课程建设;优化师资结构,加强双师型师资队伍建设;加强校企合作,建立实践教学平台和实践基地等方面来加强专业的建设,进而提高数据科学与大数据技术专业应用型、创新型、复合型人才的培养质量。

Current situation of the construction of data science and big data technology major is analyzed,and Pingxiang University is taken as an example to tell that there are unclear training objectives,imperfect talent training model,incomplete curriculum system,insufficient faculty,and inadequate construction of practice platform and practice base in the major construction.To strengthen the construction of the major,it is suggested that ideas on the construction of the major should be clarified to establish explicit goal for major training,the faculty structure should be optimized by reinforcing the construction of"dual-qualification"teaching staff,and practice teaching platform and practice base should be established to strengthen school-enterprise cooperation,so as to improve the quality of training of applied,innovative and versatile talents in data science and big data technology major.