by our College Data Analytics TeamIndustrial & Management Engineering is a concentration offered under the engineering-related fields major at The University of Texas at Arlington. We’ve pulled together some essential information you should know about the master’s degree program in industrial management, including how many students graduate each year, the ethnic diversity of these students, whether or not the degree is offered online, and more.
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In 2019-2020, the average part-time graduate tuition at UT Arlington was $1,215 per credit hour for out-of-state students. The average for in-state students was $493 per credit hour. The following table shows the average full-time tuition and fees for graduate student.
| In State | Out of State | |
|---|---|---|
| Tuition | $8,739 | $21,571 |
| Fees | $1,805 | $1,805 |
Looking for online learning options? Good news, you can take online classes in the industrial management master’s degree program at UT Arlington. To see if the school offers distance learning options in other areas, visit the UT Arlington Online Learning page.
About 23.8% of the students who received their Master’s in industrial management in 2019-2020 were women. This is less than the nationwide number of 31.1%.
Of those graduates who received a master’s degree in industrial management at UT Arlington in 2019-2020, 4.8% were racial-ethnic minorities*. This is lower than the nationwide number of 21%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 1 |
| Black or African American | 0 |
| Hispanic or Latino | 0 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 0 |
| International Students | 20 |
| 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.