by our College Data Analytics TeamData Modeling/Warehousing & Database Administration is a concentration offered under the computer software and applications major at University of Virginia - Main Campus. We’ve pulled together some essential information you should know about the master’s degree program in data modeling/warehousing and database administration, including how many students graduate each year, the ethnic diversity of these students, and more.
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During the 2019-2020 academic year, part-time graduate students at University of Virginia paid an average of $1,290 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $764 per credit hour. The following table shows the average full-time tuition and fees for graduate student.
| In State | Out of State | |
|---|---|---|
| Tuition | $17,076 | $28,604 |
| Fees | $3,108 | $3,790 |
If you’re interested in online learning, you’re in luck. University of Virginia does offer online classes in its data modeling/warehousing and database administration master’s degree program. To see if the school offers distance learning options in other areas, visit the University of Virginia Online Learning page.
About 40.7% of the students who received their MS in data modeling/warehousing and database administration in 2019-2020 were women. This is in the same ballpark of the nationwide number of 40.4%.
Racial-ethnic minority graduates* made up 33.3% of the data modeling/warehousing and database administration master’s degrees at University of Virginia in 2019-2020. This is higher than the nationwide number of 18%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 12 |
| Black or African American | 3 |
| Hispanic or Latino | 1 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 17 |
| International Students | 19 |
| Other Races/Ethnicities | 2 |
*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.