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Artificial Intelligence at University of Georgia

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Artificial Intelligence at University of Georgia

What traits are you looking for in a AI school? To help you decide if University of Georgia is right for you, we've gathered the following information about the school's AI program.

UGA is located in Athens, Georgia and has a total student population of 39,147.

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.

UGA Artificial Intelligence Degrees Available

  • Master’s Degree in AI

UGA Artificial Intelligence Rankings

Note: While rankings may be a good starting point when you're researching a school, they don't necessarily highlight all of a school's strengths. Don't forget to check out the other details that are available for a school to see if it has what you're looking for in a program.

AI Student Demographics at UGA

Take a look at the following statistics related to the make-up of the AI majors at University of Georgia.

UGA Artificial Intelligence Master’s Program

27% Women
During the 2020-2021 academic year, 15 AI majors earned their master's degree from UGA. Of these graduates, 73% were men and 27% were women.

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

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Race/Ethnicity Number of Students
Asian 0
Black or African American 0
Hispanic or Latino 0
White 4
International Students 10
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 GA, the home state for University of Georgia.

Occupation Jobs in GA Average Salary in GA
Software Applications Developers 30,440 $105,240
Systems Software Developers 12,910 $105,100
Computer and Information Research Scientists 690 $100,140

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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