Facing the new round of technological revolution and industrial transformation, digital education represented by artificial intelligence has brought unprecedented opportunities and challenges to the reform of higher engineering education. ow to promote the deep integration of traditional characteristic and advantageous engineering majors with artificial intelligence is an important issue that commonly faced by higher education worldwide at present. Based on this, the factors influencing the integration of engineering majors with traditional characteristics and artificial intelligence are systematically analyzed. 5 primary influencing factors and 19 secondary influencing factors are identified through literature research and expert interviews, and the interaction relationship between the factors is analyzed by using structural equation model. The results indicate that the degree of influence on the integration of traditional characteristic and advantageous engineering majors and artificial intelligence is ranked from high to low in terms of curriculum system, faculty construction, practical teaching, educational positioning and quality assurance. Among which, teaching objectives, faculty structure, industry-university cooperation, research and education, professional orientation and teaching evaluation are the most important indicators corresponding to each first-level influencing factor, respectively. Based on the research results, countermeasure suggestions for promoting the integration of traditional characteristic and advantageous engineering majors with artificial intelligence are proposed from five aspects.