by our College Data Analytics TeamData Modeling/Warehousing & Database Administration is a concentration offered under the computer software and applications major at University of Michigan - Ann Arbor. Here, you’ll find out more about the major master’s degree program in data modeling/warehousing and database administration, including such details as the number of graduates, diversity of students, and more.
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In 2019-2020, the average part-time graduate tuition at U-M was $2,686 per credit hour for out-of-state students. The average for in-state students was $1,309 per credit hour. Information about average full-time graduate student tuition and fees is shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $24,344 | $49,120 |
| Fees | $428 | $428 |
Online degrees for the U-M data modeling/warehousing and database administration master’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the U-M Online Learning page.
About 44.4% of the students who received their MS in data modeling/warehousing and database administration in 2019-2020 were women. This is higher than the nationwide number of 40.4%.
Of those graduates who received a master’s degree in data modeling/warehousing and database administration at U-M in 2019-2020, 11.1% were racial-ethnic minorities*. This is lower than the nationwide number of 18%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 1 |
| Black or African American | 0 |
| Hispanic or Latino | 0 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 2 |
| International Students | 14 |
| Other Races/Ethnicities | 1 |
*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.