NDNU vs. Bryan College of Health Sciences

Comparable Facts

Compare Notre Dame de Namur University in Belmont, CA with Bryan College of Health Sciences in Lincoln, NE on tuition, admissions, graduation, earnings, and student body data using the tables above.

Bryan College of Health Sciences is larger than NDNU based on total student enrollment (765 students vs. 306 students).

Location, institution type, and student-faculty ratio

• Notre Dame de Namur University is located in Belmont, CA (Large Suburban setting); Bryan College of Health Sciences is in Lincoln, NE (Large City setting).
• Notre Dame de Namur University is a private, non-profit 4-year institution. Bryan College of Health Sciences is a private, non-profit 4-year institution.
• Student-to-faculty ratio: Notre Dame de Namur University 6:1; Bryan College of Health Sciences 9:1.

Cost details

• Living costs (room and board or off-campus housing budget) at Bryan College of Health Sciences are 31.7% lower than at Notre Dame de Namur University ($10,260 vs. $15,016).
• Out-of-state tuition is 75.9% higher at NDNU than at Bryan College of Health Sciences (about $15,666 more per year; $36,306 vs. $20,640).
• A larger share of students receive grant aid at Bryan College of Health Sciences than at Notre Dame de Namur University (78% vs. 0%).

Admissions details

• SAT or ACT scores are not reported at NDNU, test-free at Bryan College of Health Sciences.

Loans and repayment

• Among federal student loan borrowers, Bryan College of Health Sciences graduates have a $911 lower median loan debt than NDNU graduates ($24,311 vs. $25,222).
• Among borrowers, Bryan College of Health Sciences graduates have an estimated $9 lower median monthly federal student loan payment than NDNU graduates ($251 vs. $260).
• More Bryan College of Health Sciences graduates are actively paying back their federal student loan debt than former NDNU students, three years after graduation (83% vs. 64%).

Sources: U.S. Department of Education, IPEDS and College Scorecard. Values reflect the most recent year available in our dataset.