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Artificial Intelligence at University of Southern California

Artificial Intelligence at University of Southern California

If you plan to study artificial intelligence, take a look at what University of Southern California has to offer and decide if the program is a good match for you. Get started with the following essential facts.

USC is located in Los Angeles, California and approximately 46,287 students attend the school each year.

Want to know more about the career opportunities in this field? Check out the Careers in Artificial Intelligence section at the bottom of this page.

USC Artificial Intelligence Degrees Available

  • Master’s Degree in AI

USC Artificial Intelligence Rankings

AI Student Demographics at USC

Take a look at the following statistics related to the make-up of the ai majors at University of Southern California.

USC Artificial Intelligence Master’s Program

11% Women
24% Racial-Ethnic Minorities*
For the most recent academic year available, 89% of ai master's degrees went to men and 11% went to women.

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In the ai master's program at this school, racial-ethnic minorities make up 24% of degree recipients. That is 3% better than the national average.*

The following table and chart show the race/ethnicity for students who recently graduated from University of Southern California with a master's in ai.

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Race/Ethnicity Number of Students
Asian 8
Black or African American 0
Hispanic or Latino 2
White 6
International Students 28
Other Races/Ethnicities 1

Careers That AI Grads May Go Into

A degree in ai can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for CA, the home state for University of Southern California.

Occupation Jobs in CA Average Salary in CA
Software Applications Developers 148,550 $127,950
Systems Software Developers 88,910 $131,700
Computer and Information Research Scientists 7,300 $136,310

References

*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.

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