by our College Data Analytics TeamIndustrial Technology is a concentration offered under the industrial production technology major at Danville Community College. We’ve gathered data and other essential information about the associate degree program in industrial tech, such as diversity of students, how many students graduated in recent times, and more.
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In 2019-2020, the average part-time undergraduate tuition at Danville Community College was $331 per credit hour for out-of-state students. The average for in-state students was $154 per credit hour. The following table shows the average full-time tuition and fees for undergraduates.
| In State | Out of State | |
|---|---|---|
| Tuition | $4,620 | $9,918 |
| Fees | $105 | $810 |
| Books and Supplies | $1,500 | $1,500 |
Learn more about Danville Community College tuition and fees.
Online degrees for the Danville Community College industrial tech associate degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the Danville Community College Online Learning page.
Women made up around 5.9% of the industrial tech students who took home an associate degree in 2019-2020. This is less than the nationwide number of 14.3%.
Racial-ethnic minority graduates* made up 5.9% of the industrial tech associate degrees at Danville Community College in 2019-2020. This is lower than the nationwide number of 27%.
| 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 | 32 |
| International Students | 0 |
| Other Races/Ethnicities | 1 |
*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.
