by our College Data Analytics TeamChemical Engineering is a concentration offered under the chemical engineering major at Texas A&M University - College Station. We’ve gathered data and other essential information about the doctor’s degree program in chem eng, 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 Texas A&M College Station paid an average of $793 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $282 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 | $6,775 | $19,048 |
| Fees | $3,695 | $3,695 |
Texas A&M College Station does not offer an online option for its chem eng doctor’s degree program at this time. To see if the school offers distance learning options in other areas, visit the Texas A&M College Station Online Learning page.
About 36.7% of the students who received their PhD in chem eng in 2019-2020 were women. This is higher than the nationwide number of 30.4%.
Of those graduates who received a doctor’s degree in chem eng at Texas A&M College Station in 2019-2020, 10.0% were racial-ethnic minorities*. This is lower than the nationwide number of 15%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 2 |
| Black or African American | 1 |
| Hispanic or Latino | 0 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 2 |
| International Students | 24 |
| 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.
