Engineering is a program of study at New York University. The school offers a doctor’s degree in the area. Here, you’ll find out more about the major doctor’s degree program in engineering, 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 NYU was $1,928 per credit hour for both in-state and out-of-state students. The following table shows the average full-time tuition and fees for graduate student.
In State | Out of State | |
---|---|---|
Tuition | $34,704 | $34,704 |
Fees | $2,188 | $2,188 |
NYU does not offer an online option for its engineering doctor’s degree program at this time. To see if the school offers distance learning options in other areas, visit the NYU Online Learning page.
About 25.6% of the students who received their PhD in engineering in 2019-2020 were women. This is about the same as the countrywide number of 24.6%.
Racial-ethnic minority graduates* made up 2.6% of the engineering doctor’s degrees at NYU in 2019-2020. This is lower than the nationwide number of 12%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 1 |
Black or African American | 0 |
Hispanic or Latino | 0 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 6 |
International Students | 32 |
Other Races/Ethnicities | 0 |
Engineering students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Biomedical Engineering | 1 |
Chemical Engineering | 3 |
Civil Engineering | 7 |
Electrical Engineering | 21 |
Mechanical Engineering | 4 |
*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.