Engineering is a program of study at George Washington University. The school offers a master’s degree in the area. We’ve pulled together some essential information you should know about the master’s degree program in engineering, 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 GWU was $1,765 per credit hour for both in-state and out-of-state students. The average full-time tuition and fees for graduate students are shown in the table below.
In State | Out of State | |
---|---|---|
Tuition | $31,770 | $31,770 |
Fees | $54 | $54 |
Online degrees for the GWU engineering master’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the GWU Online Learning page.
Of the students who received their master’s degree in engineering in 2019-2020, 21.3% of them were women. This is less than the nationwide number of 26.8%.
Of those graduates who received a master’s degree in engineering at GWU in 2019-2020, 15.9% were racial-ethnic minorities*. This is about the same as the nationwide number of 17%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 15 |
Black or African American | 19 |
Hispanic or Latino | 12 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 1 |
White | 89 |
International Students | 142 |
Other Races/Ethnicities | 18 |
Engineering students may decide to major in one of the following focus areas.
Focus Area | Annual Graduates |
---|---|
Biomedical Engineering | 16 |
Civil Engineering | 12 |
Computer Engineering | 9 |
Electrical Engineering | 109 |
Mechanical Engineering | 37 |
*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.