by our College Data Analytics TeamGeneral Computer Engineering is a concentration offered under the computer engineering major at Villanova University. We’ve gathered data and other essential information about the master’s degree program in general computer engineering, such as diversity of students, how many students graduated in recent times, and more.
If there’s something special you’re looking for, you can use one of the links below to find it:
Part-time graduates at Villanova paid an average of $1,085 per credit hour in 2019-2020. This tuition was the same 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 | $20,619 | $20,619 |
| Fees | $100 | $100 |
Villanova does not offer an online option for its general computer engineering master’s degree program at this time. To see if the school offers distance learning options in other areas, visit the Villanova Online Learning page.
Of the students who received their master’s degree in general computer engineering in 2019-2020, 16.7% of them were women. This is less than the nationwide number of 26.8%.
Around 16.7% of general computer engineering master’s degree recipients at Villanova in 2019-2020 were awarded to racial-ethnic minorities*. This is higher than the nationwide number of 14%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 0 |
| Black or African American | 0 |
| Hispanic or Latino | 1 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 3 |
| International Students | 1 |
| Other Races/Ethnicities | 1 |
You may also be interested in one of these majors related to general computer engineering.
| Related Major | Annual Graduates |
|---|---|
| Software Engineering | 12 |
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.