by our College Data Analytics TeamThe main focus area for this major is Computer Science. For more details on this concentration, visit its profile page.
Computer Science is a major offered under the computer and information sciences program of study at Kent State University at Kent. We’ve gathered data and other essential information about the doctor’s degree program in compsci, such as diversity of students, how many students graduated in recent times, and more.
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Out-of-state part-time graduates at Kent State paid an average of $999 per credit hour in 2019-2020. The average for in-state students was $536 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 | $11,766 | $21,952 |
Kent State does not offer an online option for its compsci doctor’s degree program at this time. To see if the school offers distance learning options in other areas, visit the Kent State Online Learning page.
Of the students who received their doctor’s degree in compsci in 2019-2020, 50.0% of them were women. This is higher than the nationwide number of 19.1%.
None of the compsci doctor’s degree recipients at Kent State in 2019-2020 were awarded to racial-ethnic minorities*.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 0 |
| Black or African American | 0 |
| Hispanic or Latino | 0 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 0 |
| International Students | 2 |
| Other Races/Ethnicities | 0 |
Computer Science students may decide to major in one of the following focus areas.
| Focus Area | Annual Graduates |
|---|---|
| Computer Science | 2 |
*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.