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Data Analytics at Rochester Institute of Technology

Data Analytics at Rochester Institute of Technology

Every data analytics school has its own distinct culture and strengths. We've pulled together some statistics and other details to help you see how the data analytics program at Rochester Institute of Technology stacks up to those at other schools.

RIT is located in Rochester, New York and approximately 16,158 students attend the school each year.

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

RIT Data Analytics Degrees Available

  • Master’s Degree in Data Analytics

RIT Data Analytics Rankings

Data Analytics Student Demographics at RIT

Take a look at the following statistics related to the make-up of the data analytics majors at Rochester Institute of Technology.

RIT Data Analytics Master’s Program

33% Women
33% Racial-Ethnic Minorities*
For the most recent academic year available, 67% of data analytics master's degrees went to men and 33% went to women.

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In the data analytics master's program at this school, racial-ethnic minorities make up 33% of degree recipients. That is 12% better than the national average.*

The following table and chart show the race/ethnicity for students who recently graduated from Rochester Institute of Technology with a master's in data analytics.

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

Concentrations Within Data Analytics

Data Analytics majors may want to concentrate their studies in one of these areas. The completion numbers here include all graduates who receive any type of degree in this field from Rochester Institute of Technology. Some of these focus areas may not be available for your degree level.

Concentration Annual Degrees Awarded

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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