by our College Data Analytics TeamData Modeling/Warehousing & Database Administration is a concentration offered under the computer software and applications major at Brandeis University. 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, ethnicity of students, related majors and concentrations, and more.
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During the 2019-2020 academic year, part-time graduate students at Brandeis paid an average of $0 per credit hour. No discount was available for in-state students. The following table shows the average full-time tuition and fees for graduate student.
| In State | Out of State | |
|---|---|---|
| Tuition | $51,940 | $51,940 |
| Fees | $120 | $120 |
Looking for online learning options? Good news, you can take online classes in the data modeling/warehousing and database administration master’s degree program at Brandeis. To see if the school offers distance learning options in other areas, visit the Brandeis Online Learning page.
About 35.3% of the students who received their MS in data modeling/warehousing and database administration in 2019-2020 were women. This is less than the nationwide number of 40.4%.
Racial-ethnic minority graduates* made up 29.4% of the data modeling/warehousing and database administration master’s degrees at Brandeis in 2019-2020. This is higher than the nationwide number of 18%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 1 |
| Black or African American | 2 |
| Hispanic or Latino | 2 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 11 |
| International Students | 0 |
| 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.