廨̳

Carnegie Reaffirms 廨̳ as a Top-Tier "Doctoral/Professional University"

Feb 1, 2022

Carnegie Reaffirms 廨̳ as a Top-Tier "Doctoral/Professional University"

Feb 1, 2022

On January 31st, the Carnegie Classification of Institutions of Higher Education reaffirmed 廨̳ College’s classification as a “Doctoral/Professional University.” 廨̳ is one of only three institutions of higher education in the region to have earned the highest category of this prestigious national designation. 

“We are delighted that 廨̳ continues to be listed in the top tier of classifications by Carnegie,” said President Gary Olson. “This is a real tribute to our faculty and the growing sophistication of 廨̳ as a college of national distinction.”

廨̳ joins other elite institutions across the country that hold the same classification, including Hofstra, Pepperdine, Simmons, and Belmont Universities. 廨̳ is one of only 193 institutions in the country to achieve the doctoral/professional universities distinction.

The Carnegie Classification system evaluates all higher education institutions based on undergraduate and graduate instructional programs, enrollment profile, undergraduate profile, size and setting, and other factors. Carnegie has also recognized 廨̳ in its special community engagement classification.

“Remaining in Carnegie’s prominent doctoral classification is a great point of pride at 廨̳, and we are honored to be among such an esteemed group of institutions in this category,” said Provost Michael Brogan. “This designation is a strong affirmation of 廨̳’s academic excellence and reflects our tremendous momentum thanks to our dedicated faculty who provide outstanding learning opportunities to our students.”

Carnegie Classification has been a leading framework for recognizing and describing institutional diversity in U.S. higher education for more than four decades. The Carnegie Commission on Higher Education developed a classification of colleges and universities to support its program of research and policy analysis. This framework has been widely used in the study of higher education to represent and control for institutional differences — and also in the design of research studies to ensure adequate representation of sampled institutions, students, or faculty.