by our College Data Analytics TeamGeneral Materials Engineering is a concentration offered under the materials engineering major at Stanford University. We’ve gathered data and other essential information about the master’s degree program in materials processing and manufacturing, such as diversity of students, how many students graduated in recent times, and more.
You can jump to any section of this page using the links below:
During the 2019-2020 academic year, part-time graduate students at Stanford paid an average of $0 per credit hour. No discount was available for in-state students. The average full-time tuition and fees for graduate students are shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $54,315 | $54,315 |
| Fees | $696 | $696 |
If you’re interested in online learning, you’re in luck. Stanford does offer online classes in its materials processing and manufacturing master’s degree program. To see if the school offers distance learning options in other areas, visit the Stanford Online Learning page.
About 39.4% of the students who received their MS in materials processing and manufacturing in 2019-2020 were women. This is higher than the nationwide number of 28.8%.
Around 27.3% of materials processing and manufacturing master’s degree recipients at Stanford in 2019-2020 were awarded to racial-ethnic minorities*. This is higher than the nationwide number of 19%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 7 |
| Black or African American | 1 |
| Hispanic or Latino | 1 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 3 |
| International Students | 21 |
| Other Races/Ethnicities | 0 |
*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.