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Data Analytics at Davenport University

Data Analytics at Davenport University

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 Davenport University stacks up to those at other schools.

Davenport University is located in Grand Rapids, Michigan and has a total student population of 6,127.

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.

Davenport University Data Analytics Degrees Available

  • Master’s Degree in Data Analytics

Davenport University Data Analytics Rankings

Data Analytics Student Demographics at Davenport University

Take a look at the following statistics related to the make-up of the data analytics majors at Davenport University.

Davenport University Data Analytics Master’s Program

33% Women
17% 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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Of the students who received a data analytics master's degree from Davenport University, 75% 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 Davenport University with a master's in data analytics.

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Race/Ethnicity Number of Students
Asian 1
Black or African American 1
Hispanic or Latino 0
White 9
International Students 1
Other Races/Ethnicities 0

Concentrations Within Data Analytics

If you plan to be a data analytics major, you may want to focus your studies on one of the following concentrations. The completion numbers here include all graduates who receive any type of degree in this field from Davenport University. 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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