As the number of students enrolled in the Master of Engineering Management program increases, there is a growing need for enhanced monitoring of training quality. Dissertations are increasingly becoming an indicator of training quality. This study identifies four primary aspects based on M University's dissertation evaluation requirements: topic selection, literature review, dissertation level, and dissertation standards. Four researchers utilized Nvivo12.0 to conduct a textual cross-coding analysis on issues and suggestions raised in expert blind review comments of the dissertations. They identified 14 secondary nodes and 50 tertiary node issues, with the primary nodes of dissertation level and standardization issues having relatively high proportions. The secondary nodes of topic research, research results and frontier dynamics, research subjects, problems and solutions, theoretical methods and technical selection, workload and research depth, result applicability, structure and thought process, language expression, and writing standards had numerous issues. The specific manifestations of the tertiary node issues are also listed. Consequently, recommendations for monitoring and managing the quality of dissertations are proposed.