Data Modeling/Warehousing & Database Administration is a concentration offered under the computer software and applications major at Lewis University. We’ve gathered data and other essential information about the master’s degree program in data modeling/warehousing and database administration, such as diversity of students, how many students graduated in recent times, and more.
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In 2019-2020, the average part-time graduate tuition at Lewis was $810 per credit hour for both in-state and out-of-state students. The average full-time tuition and fees for graduate students are shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $14,580 | $14,580 |
Fees | $200 | $200 |
If you’re one of the many students who want the flexibility of distance learning courses, you’ll be happy to hear that Lewis offers online option 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 Lewis Online Learning page.
Women made up around 32.5% 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%.
Of those graduates who received a master’s degree in data modeling/warehousing and database administration at Lewis in 2019-2020, 25.0% were racial-ethnic minorities*. This is higher than the nationwide number of 18%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 6 |
Black or African American | 1 |
Hispanic or Latino | 1 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 1 |
White | 23 |
International Students | 1 |
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.