Screening of applicants for admission to dental school often relies on metrics such as overall undergraduate grade point average (oGPA) and Dental Admission Test (DAT) scores to identify desirable prospective students. The aim of this study was to assess unintended selection bias that may be overlooked or mitigated with holistic review and the inluence of metrics at one U.S. dental school. Descriptive range analysis of oGPA and science GPA (sGPA), DAT scores, and total experience hours was performed for the 2017-18 application cycle for all applicants, those who self-identiied as underrepresented minorities (URM), non-traditional applicants (with postbaccalaureate or master's coursework), and socioeconomically disadvantaged (SED) applicants reporting low parental employment-occupation scores. The results showed that, in screening this school's applicant pool, metrics-based candidate selection would favor those candidates in the 80 th percentile of GPA and DAT Academic Average (AA) scores. Unless mitigated by other screening factors, reliance on these metrics tended to favor majority, traditional, and non-URM SED applicants. These indings suggested that the new admitted class would likely have fewer dental experience and employment hours than in the overall applicant pool. Interestingly, more non-traditional, SED, and URM applicants could be considered if higher general employment and dental experience hours had more impact in the screening process. These results illustrate the importance of deliberately considering non-cognitive metrics and characteristics to admit a more diverse student body.