by our College Data Analytics TeamArtificial Intelligence is a concentration offered under the computer information systems major at University of Pennsylvania. We’ve pulled together some essential information you should know about the master’s degree program in AI, including how many students graduate each year, the ethnic diversity of these students, and more.
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During the 2019-2020 academic year, part-time graduate students at UPenn paid an average of $0 per credit hour. No discount was available for in-state students. The average full-time tuition and fees for graduate students are shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $37,678 | $37,678 |
| Fees | $4,082 | $4,082 |
UPenn does not offer an online option for its AI master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the UPenn Online Learning page.
Women made up around 25.6% of the AI students who took home a master’s degree in 2019-2020. This is less than the nationwide number of 32.7%.
Racial-ethnic minority graduates* made up 28.2% of the AI master’s degrees at UPenn in 2019-2020. This is higher than the nationwide number of 16%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 16 |
| Black or African American | 1 |
| Hispanic or Latino | 2 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 24 |
| International Students | 31 |
| Other Races/Ethnicities | 4 |
You may also be interested in one of these majors related to artificial intelligence.
| Related Major | Annual Graduates |
|---|---|
| General Computer & Information Sciences | 171 |
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.