by our College Data Analytics TeamGeneral Materials Engineering is a concentration offered under the materials engineering major at Georgia Institute of Technology - Main Campus. We’ve pulled together some essential information you should know about the doctor’s degree program in materials processing and manufacturing, 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 Georgia Tech was $1,215 per credit hour for out-of-state students. The average for in-state students was $586 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 | $14,064 | $29,140 |
| Fees | $2,194 | $2,194 |
Georgia Tech does not offer an online option for its materials processing and manufacturing doctor’s degree program at this time. To see if the school offers distance learning options in other areas, visit the Georgia Tech Online Learning page.
About 26.5% of the students who received their PhD in materials processing and manufacturing in 2019-2020 were women. This is in the same ballpark of the nationwide number of 26.4%.
Racial-ethnic minority graduates* made up 14.7% of the materials processing and manufacturing doctor’s degrees at Georgia Tech in 2019-2020. This is about the same as the nationwide number of 14%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 2 |
| Black or African American | 2 |
| Hispanic or Latino | 0 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 13 |
| International Students | 16 |
| 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.