According to the National Center for Education Statistics, the average salary for engineering deans at public institutions is $143,000, while at private non-profit institutions it is $153,000. Data from the Carnegie Classification of Institutions of Higher Education.
Research findings indicate that engineering deans at very high research activity institutions tend to have higher salaries, with a median of $175,000. In contrast, those at baccalaureate colleges have a median salary of $105,000.
Inside Higher Ed reports that the median salary for engineering deans at doctoral universities is $160,000, while at master's universities it is $125,000. The analysis is based on data from the College and University Professional Association for Human Resources.
A study published on Academia.edu examines the relationship between institutional characteristics, such as Carnegie Classification, and engineering deans' salaries. The findings suggest that deans at institutions with higher research activity tend to have higher salaries.
The Carnegie Foundation provides data and tools for analyzing institutional characteristics, including the Carnegie Classification of Institutions of Higher Education. The website offers resources for researchers and administrators to explore data on engineering programs and deans' salaries.
The American Society of Mechanical Engineers (ASME) discusses the importance of engineering education and the role of deans in shaping engineering programs. The article highlights the need for competitive salaries to attract and retain talented deans.
Diverse: Issues In Higher Education reports on the salaries of engineering deans at historically black colleges and universities (HBCUs) and Hispanic-serving institutions (HSIs). The article highlights the challenges faced by these institutions in attracting and retaining top talent.
The American Society for Engineering Education (ASEE) hosts a webinar on the relationship between Carnegie Classification and engineering deans' salaries. The webinar features expert panelists discussing the implications of the data for engineering education and institutional leadership.