Present study was conducted with the aim of providing a suitable model for the professional competency of the faculty members of the Islamic Azad University of Tehran. Research method, was fundamental-applied in terms of purpose. In terms of data type, it was mixed (qualitative-quantitative) of exploratory type; In terms of data collection, it was cross-sectional and in terms of data collection method or the nature of research, it was descriptive survey. The statistical population in the qualitative part of the research included higher education experts who were selected based on purposive sampling. The statistical population of the research in the quantitative section, including all faculty members of Tehran Azad Universities, who were working in the whole city of Tehran, (2953 people), and 360 people were selected based on Cochran's formula and cluster sampling type. Delphi technique and model fitness assessment questionnaire were used. Validity and reliability in the qualitative section were measured and confirmed using quality criteria (reliability). In part, the formality, content, and structure were used to measure validity, and Cronbach's alpha and combination reliability were used for reliability, all of which were confirmed. The method of data analysis in the present study and in the qualitative part was the Delphi technique. In the quantitative part, Pearson correlation method with Spss-V23 software and structural equation modeling (confirmatory factor analysis) and using factor loads for each of the components as well as components by the software Lisrel-V8. 8 software was used. The results of the study showed that the components of professional qualifications of faculty members of Islamic Azad University of Tehran included scientific scientific competence of educational expertise, general competence, behavioral-moral competence, managerial competence, intellectual competence competence and socio-emotional competence. Also, considering the difference between the means, which are positive values, it is inferred that the condition of the components is generally in the desired state but slightly higher than the average.