by our College Data Analytics TeamGeneral Systems Engineering is a concentration offered under the systems engineering major at University of Michigan - Dearborn. We’ve pulled together some essential information you should know about the master’s degree program in general systems engineering, 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 UM Dearborn paid an average of $1,437 per credit hour in 2019-2020. The average for in-state students was $810 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 | $13,850 | $24,672 |
| Fees | $400 | $400 |
Looking for online learning options? Good news, you can take online classes in the general systems engineering master’s degree program at UM Dearborn. To see if the school offers distance learning options in other areas, visit the UM Dearborn Online Learning page.
Of the students who received their master’s degree in general systems engineering in 2019-2020, 43.8% of them were women. This is higher than the nationwide number of 26.4%.
Around 31.3% of general systems engineering master’s degree recipients at UM Dearborn in 2019-2020 were awarded to racial-ethnic minorities*. This is higher than the nationwide number of 25%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 0 |
| Black or African American | 3 |
| Hispanic or Latino | 2 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 7 |
| International Students | 3 |
| Other Races/Ethnicities | 1 |
*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.