by our College Data Analytics TeamData Modeling/Warehousing & Database Administration is a concentration offered under the computer software and applications major at Northeastern University Professional Advancement Network. 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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Part-time graduates at Northeastern University Professional Advancement Network paid an average of $755 per credit hour in 2019-2020. This tuition was the same for both in-state and out-of-state students. The following table shows the average full-time tuition and fees for graduate student.
| In State | Out of State | |
|---|---|---|
| Tuition | $24,294 | $24,294 |
| Fees | $644 | $644 |
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 Northeastern University Professional Advancement Network. To see if the school offers distance learning options in other areas, visit the Northeastern University Professional Advancement Network Online Learning page.
Women made up around 46.4% of the data modeling/warehousing and database administration students who took home a master’s degree in 2019-2020. This is higher than the nationwide number of 40.4%.
Around 2.5% of data modeling/warehousing and database administration master’s degree recipients at Northeastern University Professional Advancement Network in 2019-2020 were awarded to racial-ethnic minorities*. This is lower than the nationwide number of 18%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 8 |
| Black or African American | 1 |
| Hispanic or Latino | 2 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 12 |
| International Students | 403 |
| Other Races/Ethnicities | 7 |
*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.