Artificial Intelligence is a concentration offered under the computer information systems major at University of Arizona. We’ve gathered data and other essential information about the master’s degree program in AI, such as diversity of students, how many students graduated in recent times, and more.
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In 2019-2020, the average part-time graduate tuition at University of Arizona was $1,781 per credit hour for out-of-state students. The average for in-state students was $853 per credit hour. Information about average full-time graduate student tuition and fees is shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $11,938 | $32,065 |
Fees | $1,334 | $1,334 |
If you’re interested in online learning, you’re in luck. University of Arizona does offer online classes in its AI master’s degree program. To see if the school offers distance learning options in other areas, visit the University of Arizona Online Learning page.
Women made up around 50.0% of the AI students who took home a master’s degree in 2019-2020. This is higher than the nationwide number of 32.7%.
None of the AI master’s degree recipients at University of Arizona 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 |
You may also be interested in one of these majors related to artificial intelligence.
Related Major | Annual Graduates |
---|---|
Information Technology | 103 |
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.