by our College Data Analytics TeamData Modeling/Warehousing & Database Administration is a concentration offered under the computer software and applications major at Rowan 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, diversity of students, and more.
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Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below.
MS in Information Technology - Database Design
Southern New Hampshire University offers a master's degree in information technology with a concentration in database design completely online.
In 2019-2020, the average part-time graduate tuition at Rowan was $716 per credit hour for both in-state and out-of-state students. Information about average full-time graduate student tuition and fees is shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $12,879 | $12,879 |
| Fees | $2,908 | $2,908 |
Online degrees for the Rowan 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 Rowan Online Learning page.
None of the students who received their MS in data modeling/warehousing and database administration in 2019-2020 were women.
Racial-ethnic minority graduates* made up 50.0% of the data modeling/warehousing and database administration master’s degrees at Rowan in 2019-2020. This is higher than the nationwide number of 18%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 0 |
| Black or African American | 2 |
| Hispanic or Latino | 0 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 0 |
| International Students | 2 |
| 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.
