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Data Processing Technology at Anoka Technical College

Data Processing Technology at Anoka Technical College

If you are interested in studying data processing technology, you may want to check out the program at Anoka Technical College. The following information will help you decide if it is a good fit for you.

Anoka Technical College is located in Anoka, Minnesota and has a total student population of 1,683.

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.

Anoka Technical College Data Processing Technology Degrees Available

  • Undergrad Certificate in Data Processing Tech (1 - 4 Years)
  • Associate’s Degree in Data Processing Tech

Anoka Technical College Data Processing Technology Rankings

Data Processing Tech Student Demographics at Anoka Technical College

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

Anoka Technical College Data Processing Technology Associate’s Program

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

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

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Race/Ethnicity Number of Students
Asian 0
Black or African American 0
Hispanic or Latino 0
White 1
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 MN, the home state for Anoka Technical College.

Occupation Jobs in MN Average Salary in MN
Computer Workers 6,200 $81,650
Computer Operators 340 $51,970

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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