新工科背景下多学科交叉融合的大数据人才培养新模式探索

Exploration of a New Mode of Big Data Talents Training with Multidisciplinary Interdisciplinary Integration under the Background of New Engineering Subjects

摘要: 大数据技术是多学科、多技术领域的融合，数学和统计学、计算机技术、管理类技术等都有涉及，因此，大数据人才培养模式具有鲜明的跨学科特色。为此，提出大数据“特长班”培养新模式，在探索与实践多学科交叉融合的大数据人才培养模式的过程中，需要梳理跨学院、跨学科、校企合作下运转过程中可能出现的各种问题，研究可行解决方法，力求建立一整套符合人才培养目标的多学科交叉融合的组织模式、师资团队、课程体系、质量监控、实践与创新体系，为多学科交叉融合的新工科建设提供可借鉴的理论与应用实践。

Abstract: Big data technology is the integration of multi-disciplinary and multi-technical fields. Mathematics and statistics, computer technology and management technology are all involved. Thus, the training mode of big data talents has distinct interdisciplinary characteristics. Therefore, a new training mode of “special class” with big data is put forward. In the process of exploring and practicing the mode of big data talent training with multi-disciplinary cross-integration, it is necessary to review all kinds of problems that may arise in the course of operation under the inter-college, inter-discipline and school-enterprise cooperation, study feasible solutions, and strive to establish a set of multi-disciplinary cross-integration organizational mode, teachers, management team, curriculum system, quality control, practice and innovation system that meet the goal of big data talent training. The theory and application practice can be provided for the construction of new engineering subjects with interdisciplinary integration.