Abstract: This study addresses the practical teaching challenges faced by the data science and big data technology major under the new engineering initiative, including difficulties in accessing authentic data, insufficient experimental resources, and a disconnect between competitions and teaching. It constructs a“competition-education symbiosis”practice platform that integrates competition-driven and virtual simulation approaches. By incorporating open datasets from Ministry of Education Type-A competitions and platforms like Kaggle, along with lightweight virtual simulation technologies (e.g., Docker), the platform establishes a low-cost, localized practical resource system. A four-dimensional mapping mechanism of“competition topic-curriculum -ideological education-project”facilitates the effective transformation of competition resources into course projects. Practice demonstrates that this model significantly enhances students' practical innovation capabilities, fostering a virtuous cycle of “promoting teaching through competitions and nurturing competitions through teaching.”It provides a replicable implementation pathway for practical teaching reform in similar New Engineering disciplines, aligning with the strategic goals of New Engineering construction.

Key words: New engineering, “Coexistence of competition and teaching”, Competition-driven, Virtual simulation, Teaching model, Practical teaching reform