The main focus area for this major is Occupational Safety & Health Technology. For more details on this concentration, visit its profile page.
Quality Control Technology is a major offered under the engineering technologies program of study at University of Wisconsin - Stout. We’ve pulled together some essential information you should know about the master’s degree program in quality control 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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Out-of-state part-time graduates at UW - Stout paid an average of $936 per credit hour in 2019-2020. 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 quality control 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.
Women made up around 16.7% of the quality control tech students who took home a master’s degree in 2019-2020. This is less than the nationwide number of 31.7%.
Racial-ethnic minority graduates* made up 50.0% of the quality control tech master’s degrees at UW - Stout in 2019-2020. This is higher than the nationwide number of 31%.
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 |
Quality Control Technology students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Occupational Safety & Health 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.