General Materials Engineering is a concentration offered under the materials engineering major at El Paso Community College. We’ve pulled together some essential information you should know about the associate degree program in materials processing and manufacturing, including how many students graduate each year, the ethnic diversity of these students, and more.
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In 2019-2020, the average part-time undergraduate tuition at El Paso Community College was $201 per credit hour for out-of-state students. The average for in-state students was $116 per credit hour. The following table shows the average full-time tuition and fees for undergraduates.
In State | Out of State | |
---|---|---|
Tuition | $2,784 | $4,824 |
Fees | $490 | $490 |
Books and Supplies | $1,129 | $1,129 |
Learn more about El Paso Community College tuition and fees.
El Paso Community College does not offer an online option for its materials processing and manufacturing associate degree program at this time. To see if the school offers distance learning options in other areas, visit the El Paso Community College Online Learning page.
Of the students who received their associate degree in materials processing and manufacturing in 2019-2020, none of them were women.
Racial-ethnic minority graduates* made up 66.7% of the materials processing and manufacturing associate degrees at El Paso Community College in 2019-2020. This is higher than the nationwide number of 57%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 0 |
Black or African American | 0 |
Hispanic or Latino | 4 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 2 |
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.