The main focus area for this major is Data Processing Technology. For more details on this concentration, visit its profile page.
Data Processing is a major offered under the computer and information sciences program of study at Anoka Technical College. Here, you’ll find out more about the major associate degree program in data processing, including such details as the number of graduates, ethnicity of students, related majors and concentrations, and more.
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Part-time undergraduates at Anoka Technical College paid an average of $177 per credit hour in 2019-2020. This tuition was the same for both in-state and out-of-state students. Information about average full-time undergraduate tuition and fees is shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $5,237 | $5,237 |
Fees | $575 | $575 |
Books and Supplies | $1,200 | $1,200 |
Learn more about Anoka Technical College tuition and fees.
Online degrees for the Anoka Technical College data processing associate degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the Anoka Technical College Online Learning page.
None of the students who received their AS in data processing in 2019-2020 were women.
Around 33.3% of data processing associate degree recipients at Anoka Technical College in 2019-2020 were awarded to racial-ethnic minorities*. This is lower than the nationwide number of 45%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 1 |
Black or African American | 0 |
Hispanic or Latino | 0 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 2 |
International Students | 0 |
Other Races/Ethnicities | 0 |
Data Processing students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Data Processing Technology | 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.