Engineering Technologies is a program of study at East Tennessee State University. The school offers a master’s degree in the area. We’ve pulled together some essential information you should know about the master’s degree program in engineering tech, 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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During the 2019-2020 academic year, part-time graduate students at ETSU paid an average of $1,321 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $480 per credit hour. The following table shows the average full-time tuition and fees for graduate student.
In State | Out of State | |
---|---|---|
Tuition | $8,640 | $23,760 |
Fees | $1,919 | $1,919 |
ETSU 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 ETSU Online Learning page.
About 16.7% of the students who received their Master’s in engineering tech in 2019-2020 were women. This is less than the nationwide number of 32.4%.
None of the engineering tech master’s degree recipients at ETSU in 2019-2020 were awarded to racial-ethnic minorities*.
Race/Ethnicity | Number of Students |
---|---|
Asian | 0 |
Black or African American | 0 |
Hispanic or Latino | 0 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 2 |
International Students | 4 |
Other Races/Ethnicities | 0 |
Engineering Technologies students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
General Engineering Technology | 6 |
*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.