Integrating industry certification into STEM-oriented vocational undergraduate education: Taking the major of financial technology application as an example

To address the persistent misalignment between competencies cultivated in traditional vocational education and the dynamic requirements of industry, this study–anchored in the STEM education framework–proposes an integrated model for embedding industry-recognized certification within undergraduate programs in financial technology. Using the +X intermediate certification in financial big data processing as a focal point, the research introduces the “STEM-certification double helix” model, operationalized through a closed-loop system comprising competency decomposition, dynamic mapping, and evidence-based traceability. The model enables the effective alignment between industry certification standards and curriculum objectives. Empirical evidence indicates that its implementation significantly enhances the pass rate of 1+X certifications and students’ data processing competencies, thereby elevating the overall quality of education and improving graduates’ employability. Based on these results, the author puts forward strategic recommendations, including institutional-level promotion, strengthened school-enterprise collaboration, and the establishment of supportive policy frameworks. These measures offer both theoretical and practical pathways for advancing technology-enabled transformation in vocational undergraduate education.