Engineering Technologies is a program of study at The University of Texas Rio Grande Valley. The school offers a master’s degree in the area. Here, you’ll find out more about the major master’s degree program in engineering tech, including such details as the number of graduates, diversity of students, and more.
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In 2019-2020, the average part-time graduate tuition at UT Rio Grande Valley was $776 per credit hour for out-of-state students. The average for in-state students was $367 per credit hour. Information about average full-time graduate student tuition and fees is shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $6,458 | $13,820 |
Fees | $1,331 | $1,331 |
UT Rio Grande Valley does not offer an online option for its engineering tech master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the UT Rio Grande Valley Online Learning page.
About 60.0% of the students who received their Master’s in engineering tech in 2019-2020 were women. This is higher than the nationwide number of 32.4%.
Of those graduates who received a master’s degree in engineering tech at UT Rio Grande Valley in 2019-2020, 60.0% were racial-ethnic minorities*. This is higher than the nationwide number of 20%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 0 |
Black or African American | 0 |
Hispanic or Latino | 3 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 0 |
International Students | 2 |
Other Races/Ethnicities | 0 |
Engineering Technologies students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Engineering-Related Fields | 5 |
*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.