by our College Data Analytics TeamData Processing Technology is a concentration offered under the data processing major at Skagit Valley College. Here, you’ll find out more about the major associate degree program in data processing tech, including such details as the number of graduates, diversity of students, and more.
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Out-of-state part-time undergraduates at Skagit Valley College paid an average of $180 per credit hour in 2019-2020. The average for in-state students was $101 per credit hour. The average full-time tuition and fees for undergraduates are shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $3,626 | $6,485 |
| Fees | $400 | $400 |
| Books and Supplies | $960 | $960 |
| On Campus Room and Board | $9,600 | $9,600 |
| On Campus Other Expenses | $3,000 | $3,000 |
Learn more about Skagit Valley College tuition and fees.
Skagit Valley College does not offer an online option for its data processing tech associate degree program at this time. To see if the school offers distance learning options in other areas, visit the Skagit Valley College Online Learning page.
About 50.0% of the students who received their AS in data processing tech in 2019-2020 were women. This is higher than the nationwide number of 24.6%.
Racial-ethnic minority graduates* made up 37.5% of the data processing tech associate degrees at Skagit Valley College in 2019-2020. This is lower than the nationwide number of 45%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 0 |
| Black or African American | 0 |
| Hispanic or Latino | 2 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 5 |
| International Students | 0 |
| Other Races/Ethnicities | 1 |
*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.
