Exploration of an Innovative Talent Cultivation Model for Statistics Majors Based on the Integration of “Learning, Competition, Research, and Innovation”

随着大数据时代的来临，统计学作为数据分析的核心学科，其重要性日益凸显。本文基于统计学专业的学科特点及创新型人才培养目标的具体要求，针对传统人才培养模式方面的不足，将教学、学科竞赛、科学研究和创新实践有效融合，提出“学、赛、研、创”一体化统计学专业创新型人才培养模式，该模式能有效促进统计学专业教育与产业发展的深度融合，为培养新时代需求的创新型统计学人才提供了有力保障。With the advent of the big data era, statistics, as the core discipline of data analysis, has seen its importance grow increasingly prominent. Based on the disciplinary characteristics of statistics and the specific requirements for cultivating innovative talent, this paper addresses the shortcomings of traditional talent cultivation models by effectively integrating teaching, academic competitions, scientific research, and innovative practices. It proposes an integrated “Learning, Competition, Research, and Innovation” model for cultivating innovative statistics professionals. This model can effectively promote the deep integration of statistics education with industrial development, providing a strong guarantee for nurturing innovative statistics professionals that meet the demands of the new era.