by our College Data Analytics TeamGeneral Computer Engineering is a concentration offered under the computer engineering major at University of South Florida - Main Campus. We’ve gathered data and other essential information about the bachelor’s degree program in general computer engineering, such as diversity of students, how many students graduated in recent times, and more.
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During the 2019-2020 academic year, part-time undergraduate students at USF Tampa paid an average of $577 per credit hour if they came to the school from out-of-state. In-state students paid a discounted rate of $214 per credit hour. The average full-time tuition and fees for undergraduates are shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $4,559 | $15,473 |
| Fees | $1,851 | $1,851 |
| Books and Supplies | $1,100 | $1,100 |
| On Campus Room and Board | $12,256 | $12,256 |
| On Campus Other Expenses | $4,100 | $4,100 |
Learn more about USF Tampa tuition and fees.
Online degrees for the USF Tampa general computer engineering bachelor’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the USF Tampa Online Learning page.
Of the students who received their bachelor’s degree in general computer engineering in 2019-2020, 16.9% of them were women. This is in the same ballpark of the nationwide number of 15.0%.
Around 47.7% of general computer engineering bachelor’s degree recipients at USF Tampa in 2019-2020 were awarded to racial-ethnic minorities*. This is higher than the nationwide number of 40%.
| Race/Ethnicity | Number of Students |
|---|---|
| Asian | 9 |
| Black or African American | 3 |
| Hispanic or Latino | 14 |
| Native American or Alaska Native | 0 |
| Native Hawaiian or Pacific Islander | 0 |
| White | 22 |
| International Students | 10 |
| Other Races/Ethnicities | 7 |
*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.
