Engineering Technologies is a program of study at University of Wisconsin - Stout. 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, and more.
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In 2019-2020, the average part-time graduate tuition at UW - Stout was $936 per credit hour for out-of-state students. The average for in-state students was $475 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 | $7,155 | $15,465 |
Fees | $1,386 | $1,386 |
UW - Stout 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 UW - Stout Online Learning page.
Of the students who received their master’s degree in engineering tech in 2019-2020, 16.7% of them were women. This is less than the nationwide number of 32.4%.
Around 50.0% of engineering tech master’s degree recipients at UW - Stout in 2019-2020 were awarded to racial-ethnic minorities*. This is higher than the nationwide number of 20%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 0 |
Black or African American | 1 |
Hispanic or Latino | 2 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 2 |
International Students | 1 |
Other Races/Ethnicities | 0 |
Engineering Technologies students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Quality Control 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.