by our College Data Analytics TeamGeneral Computer Engineering is a concentration offered under the computer engineering major at Stevens Institute of Technology. Here, you’ll find out more about the major master’s degree program in general computer engineering, including such details as the number of graduates, ethnicity of students, related majors and concentrations, and more.
If there’s something special you’re looking for, you can use one of the links below to find it:
In 2019-2020, the average part-time graduate tuition at Stevens was $1,686 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 | $37,414 | $37,414 |
| Fees | $1,462 | $1,462 |
Online degrees for the Stevens general computer 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 Stevens Online Learning page.
Women made up around 16.7% of the general computer engineering students who took home a master’s degree in 2019-2020. This is less than the nationwide number of 26.8%.
Around 7.4% of general computer engineering master’s degree recipients at Stevens in 2019-2020 were awarded to racial-ethnic minorities*. This is lower than the nationwide number of 14%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 3 |
| Black or African American | 0 |
| Hispanic or Latino | 1 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 8 |
| International Students | 42 |
| Other Races/Ethnicities | 0 |
You may also be interested in one of these majors related to general computer engineering.
| Related Major | Annual Graduates |
|---|---|
| Software Engineering | 43 |
View All General Computer Engineering Related Majors >
*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.
