Data Processing Technology Schools in Michigan
In 2020-2021, 7 students earned their Data Processing Tech degrees in MI.
A Data Processing Technology major is the 24th most popular major in this state.
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Education Levels of Data Processing Technology Majors in Michigan
Data Processing Tech majors in the state tend to have the following degree levels:
| Education Level | Number of Grads |
|---|---|
| Award Taking 1 to 2 Years | 3 |
| Award Taking 2 to 4 Years | 3 |
| Award Taking Less Than 1 Year | 2 |
| Associate Degree | 2 |
| Award Taking 12 Weeks to 1 Year | 2 |
| Award Taking Less 12 Weeks | 2 |
Gender Distribution
In Michigan, a data processing tech major is more popular with men than with women.
Racial Distribution
The racial distribution of data processing tech majors in Michigan is as follows:
- Asian: 0.0%
- Black or African American: 0.0%
- Hispanic or Latino: 0.0%
- White: 100.0%
- Non-Resident Alien: 0.0%
- Other Races: 0.0%
Jobs for Data Processing Technology Grads in Michigan
In this state, there are 11,440 people employed in jobs related to a data processing tech degree, compared to 416,080 nationwide.
Wages for Data Processing Technology Jobs in Michigan
A typical salary for a data processing tech grad in the state is $44,990, compared to a typical salary of $46,750 nationwide.
Most Popular Data Processing Technology Programs in MI
There is one school in the state that offers this degree.
Graduates earn an average $29,336 after graduation. This public college charges it's students an average net price of $4,807. The 8.40% student loan default rate is lower than average.
Data Processing Technology Careers in MI
Some of the careers data processing tech majors go into include:
| Job Title | MI Job Growth | MI Median Salary |
|---|---|---|
| Computer Workers | 8% | $73,650 |
| Computer Operators | -21% | $45,300 |
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View Nationwide Data Processing Technology Report
References
- College Factual
- National Center for Education Statistics
- O*NET Online
- Image Credit: By Kenneth Jensen under License
More about our data sources and methodologies.
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