Data Processing Technology is a concentration offered under the data processing major at Capella University. We’ve gathered data and other essential information about the bachelor’s degree program in data processing tech, such as diversity of students, how many students graduated in recent times, and more.
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Part-time undergraduates at Capella University paid an average of $393 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 undergraduates.
In State | Out of State | |
---|---|---|
Tuition | $14,148 | $14,148 |
Books and Supplies | $429 | $429 |
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Build critical data analytics and data science skills that can help drive business decisions with this online bachelor's from Southern New Hampshire University.
If you’re interested in online learning, you’re in luck. Capella University does offer online classes in its data processing tech bachelor’s degree program. To see if the school offers distance learning options in other areas, visit the Capella University Online Learning page.
Women made up around 81.8% of the data processing tech students who took home a bachelor’s degree in 2019-2020. This is higher than the nationwide number of 27.4%.
Of those graduates who received a bachelor’s degree in data processing tech at Capella University in 2019-2020, 36.4% were racial-ethnic minorities*. This is about the same as the nationwide number of 38%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 0 |
Black or African American | 2 |
Hispanic or Latino | 1 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 5 |
International Students | 0 |
Other Races/Ethnicities | 3 |
*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.