The profound development of digital trade and the rapid evolution of new cross-border trade models have made data-driven decision-making a standard practice across industries

elevating statistics to a pivotal course for cultivating applied talent in international trade. However

current statistics education faces structural challenges—including misalignment of curriculum objectives

redundant content overlap

lack of practical application scenarios

one-way teaching approaches

and limited assessment methods—which significantly hinder alignment between educational outcomes and industry needs. From an educational perspective

this paper analyzes the multidimensional educational value of statistics

identifies systemic issues within the teaching framework

and proposes comprehensive reform strategies encompassing goal redefinition

content updating

methodological innovation

and evaluation optimization. It further introduces support mechanisms such as faculty capacity building and university-industry collaboration

aiming to establish actionable pathways for transforming statistics education in international trade programs.