Artificial Intelligence is a concentration offered under the computer information systems major at Carnegie Mellon University. Here, you’ll find out more about the major doctor’s degree program in AI, including such details as the number of graduates, diversity of students, and more.
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During the 2019-2020 academic year, part-time graduate students at Carnegie Mellon paid an average of $0 per credit hour. No discount was available for in-state students. Information about average full-time graduate student tuition and fees is shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $46,441 | $46,441 |
Fees | $885 | $885 |
Carnegie Mellon does not offer an online option for its AI doctor’s degree program 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 AI in 2019-2020, 17.9% of them were women. This is in the same ballpark of the nationwide number of 18.8%.
Of those graduates who received a doctor’s degree in AI at Carnegie Mellon in 2019-2020, 10.7% were racial-ethnic minorities*. This is about the same as the nationwide number of 9%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 3 |
Black or African American | 0 |
Hispanic or Latino | 0 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 4 |
International Students | 19 |
Other Races/Ethnicities | 2 |
You may also be interested in one of these majors related to artificial intelligence.
Related Major | Annual Graduates |
---|---|
Information Technology | 10 |
Other Computer & Information Sciences | 7 |
View All Artificial Intelligence 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.