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Data Processing Technology at Skagit Valley College

Data Processing Technology at Skagit Valley College

What traits are you looking for in a data processing tech school? To help you decide if Skagit Valley College is right for you, we've gathered the following information about the school's data processing tech program.

Skagit Valley College is located in Mount Vernon, Washington and approximately 4,227 students attend the school each year.

Want to know more about the career opportunities in this field? Check out the Careers in Data Processing Technology section at the bottom of this page.

Skagit Valley College Data Processing Technology Degrees Available

  • Associate’s Degree in Data Processing Tech

Skagit Valley College Data Processing Technology Rankings

Data Processing Tech Student Demographics at Skagit Valley College

Take a look at the following statistics related to the make-up of the data processing tech majors at Skagit Valley College.

Skagit Valley College Data Processing Technology Associate’s Program

100% Women
100% Racial-Ethnic Minorities*
For the most recent academic year available, 0% of data processing tech associate's degrees went to men and 100% went to women.

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The following table and chart show the race/ethnicity for students who recently graduated from Skagit Valley College with a associate's in data processing tech.

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Race/Ethnicity Number of Students
Asian 1
Black or African American 0
Hispanic or Latino 0
White 0
International Students 0
Other Races/Ethnicities 0

Careers That Data Processing Tech Grads May Go Into

A degree in data processing tech can lead to the following careers. Since job numbers and average salaries can vary by geographic location, we have only included the numbers for WA, the home state for Skagit Valley College.

Occupation Jobs in WA Average Salary in WA
Computer Workers 13,100 $91,620
Computer Operators 570 $52,470

References

*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.

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