App Specific Computer Programming is a concentration offered under the computer programming major at Kent State University at Ashtabula. We’ve gathered data and other essential information about the associate degree program in app specific computer programming, such as diversity of students, how many students graduated in recent times, and more.
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Learn the applied programming skills needed to fill in-demand tech roles when you earn your online AS in Computer Science at Southern New Hampshire University.
During the 2019-2020 academic year, part-time undergraduate students at Kent State University at Ashtabula paid an average of $648 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $278 per credit hour. The following table shows the average full-time tuition and fees for undergraduates.
In State | Out of State | |
---|---|---|
Tuition | $6,116 | $14,992 |
Books and Supplies | $1,200 | $1,200 |
Learn more about Kent State University at Ashtabula tuition and fees.
Online degrees for the Kent State University at Ashtabula app specific computer programming associate degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the Kent State University at Ashtabula Online Learning page.
None of the students who received their AS in app specific computer programming in 2019-2020 were women.
Racial-ethnic minority graduates* made up 66.7% of the app specific computer programming associate degrees at Kent State University at Ashtabula in 2019-2020. This is higher than the nationwide number of 24%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 1 |
Black or African American | 0 |
Hispanic or Latino | 1 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 1 |
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.