by our College Data Analytics TeamData Modeling/Warehousing & Database Administration is a concentration offered under the computer software and applications major at Austin Peay State University. We’ve gathered data and other essential information about the master’s degree program in data modeling/warehousing and database administration, such as if the program is offered online, ethnicity of students, how many students graduated in recent times, and more.
You can jump to any section of this page using the links below:
Out-of-state part-time graduates at Austin Peay State University paid an average of $727 per credit hour in 2019-2020. The average for in-state students was $450 per credit hour. The average full-time tuition and fees for graduate students are shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $8,100 | $13,086 |
| Fees | $1,583 | $1,583 |
Online degrees for the Austin Peay State University 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 Austin Peay State University Online Learning page.
Women made up around 33.3% of the data modeling/warehousing and database administration students who took home a master’s degree in 2019-2020. This is less than the nationwide number of 40.4%.
Around 10.4% of data modeling/warehousing and database administration master’s degree recipients at Austin Peay State University in 2019-2020 were awarded to racial-ethnic minorities*. This is lower than the nationwide number of 18%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 0 |
| Black or African American | 3 |
| Hispanic or Latino | 2 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 15 |
| International Students | 28 |
| Other Races/Ethnicities | 0 |
*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.