by our College Data Analytics TeamGeneral Materials Engineering is a concentration offered under the materials engineering major at University of Michigan - Ann Arbor. Here, you’ll find out more about the major master’s degree program in materials processing and manufacturing, including such details as the number of graduates, ethnicity of students, related majors and concentrations, and more.
You can jump to any section of this page using the links below:
In 2019-2020, the average part-time graduate tuition at U-M was $2,686 per credit hour for out-of-state students. The average for in-state students was $1,309 per credit hour. The average full-time tuition and fees for graduate students are shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $24,344 | $49,120 |
| Fees | $428 | $428 |
Online degrees for the U-M materials processing and manufacturing master’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the U-M Online Learning page.
Women made up around 41.9% of the materials processing and manufacturing students who took home a master’s degree in 2019-2020. This is higher than the nationwide number of 28.8%.
Around 9.7% of materials processing and manufacturing master’s degree recipients at U-M in 2019-2020 were awarded to racial-ethnic minorities*. This is lower than the nationwide number of 19%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 1 |
| Black or African American | 0 |
| Hispanic or Latino | 1 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 11 |
| International Students | 16 |
| Other Races/Ethnicities | 2 |
*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.
