General Dental Clinical Sciences is a concentration offered under the advanced dentistry and oral sciences major at Ohio State University - Main Campus. We’ve pulled together some essential information you should know about the master’s degree program in dental clinical sciences, including how many students graduate each year, the ethnic diversity of these students, whether or not the degree is offered online, and more.
If there’s something special you’re looking for, you can use one of the links below to find it:
Out-of-state part-time graduates at Ohio State paid an average of $2,267 per credit hour in 2019-2020. The average for in-state students was $723 per credit hour. The average full-time tuition and fees for graduate students are shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $11,560 | $36,276 |
Fees | $865 | $865 |
Ohio State does not offer an online option for its dental clinical sciences master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the Ohio State Online Learning page.
About 60.0% of the students who received their Master’s in dental clinical sciences in 2019-2020 were women. This is higher than the nationwide number of 52.6%.
Of those graduates who received a master’s degree in dental clinical sciences at Ohio State in 2019-2020, 26.7% were racial-ethnic minorities*. This is higher than the nationwide number of 23%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 4 |
Black or African American | 1 |
Hispanic or Latino | 2 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 20 |
International Students | 2 |
Other Races/Ethnicities | 1 |
*The racial-ethnic minorities count is calculated by taking the total number of students and subtracting white students, international students, and students whose race/ethnicity was unknown. This number is then divided by the total number of students at the school to obtain the racial-ethnic minorities percentage.
More about our data sources and methodologies.