by our College Data Analytics TeamInformation Technology is a concentration offered under the computer information systems major at Carnegie Mellon University. We’ve gathered data and other essential information about the doctor’s degree program in IT, such as diversity of students, how many students graduated in recent times, and more.
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Part-time graduates at Carnegie Mellon paid an average of $633 per credit hour in 2019-2020. This tuition was the same for both in-state and out-of-state students. The following table shows the average full-time tuition and fees for graduate student.
| In State | Out of State | |
|---|---|---|
| Tuition | $46,441 | $46,441 |
| Fees | $885 | $885 |
Online degrees for the Carnegie Mellon IT doctor’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the Carnegie Mellon Online Learning page.
Of the students who received their doctor’s degree in IT in 2019-2020, 60.0% of them were women. This is higher than the nationwide number of 36.5%.
None of the IT doctor’s degree recipients at Carnegie Mellon 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 | 2 |
| International Students | 7 |
| Other Races/Ethnicities | 1 |
You may also be interested in one of these majors related to information technology.
| Related Major | Annual Graduates |
|---|---|
| Artificial Intelligence | 28 |
| Other Computer & Information Sciences | 7 |
View All Information Technology Related Majors >
*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.