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Artificial Intelligence at Brandeis University

Artificial Intelligence at Brandeis University

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

Brandeis is located in Waltham, Massachusetts and approximately 5,440 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.

Brandeis Artificial Intelligence Degrees Available

  • Master’s Degree in AI

Brandeis Artificial Intelligence Rankings

AI Student Demographics at Brandeis

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

Brandeis Artificial Intelligence Master’s Program

47% Women
21% Racial-Ethnic Minorities*
For the most recent academic year available, 53% of ai master's degrees went to men and 47% went to women.

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Of the students who received a ai master's degree from Brandeis, 58% were white. This is above average for this degree on the natiowide level.

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

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Race/Ethnicity Number of Students
Asian 3
Black or African American 1
Hispanic or Latino 0
White 11
International Students 4
Other Races/Ethnicities 0

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 MA, the home state for Brandeis University.

Occupation Jobs in MA Average Salary in MA
Software Applications Developers 29,110 $109,130
Systems Software Developers 25,540 $117,760
Computer and Information Research Scientists 720 $116,920

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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