Medical Insurance Coding Specialist/Coder is a concentration offered under the health and medical administrative services major at Daymar College - Columbus. We’ve gathered data and other essential information about the associate degree program in medical insurance coding specialist/coder, such as if the program is offered online, ethnicity of students, how many students graduated in recent times, and more.
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During the 2019-2020 academic year, part-time undergraduate students at Daymar College - Columbus paid an average of $370 per credit hour. No discount was available for in-state students. The average full-time tuition and fees for undergraduates are shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $20,724 | $20,724 |
Learn more about Daymar College - Columbus tuition and fees.
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If you’re one of the many students who want the flexibility of distance learning courses, you’ll be happy to hear that Daymar College - Columbus offers online options in its medical insurance coding specialist/coder associate degree program. To see if the school offers distance learning options in other areas, visit the Daymar College - Columbus Online Learning page.
All of the students who received their Associate in medical insurance coding specialist/coder in 2019-2020 were women.
Of those students who received an associate degree in medical insurance coding specialist/coder at Daymar College - Columbus in 2019-2020, all were racial-ethnic minorities*.
Race/Ethnicity | Number of Students |
---|---|
Asian | 0 |
Black or African American | 1 |
Hispanic or Latino | 0 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 0 |
International Students | 0 |
Other Races/Ethnicities | 0 |
*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.