by our College Data Analytics TeamComputer Engineering Technology is a concentration offered under the computer engineering technology major at Kent State University at Kent. Here, you’ll find out more about the major bachelor’s degree program in computer engineering tech, including such details as the number of graduates, ethnicity of students, related majors and concentrations, and more.
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Out-of-state part-time undergraduates at Kent State paid an average of $844 per credit hour in 2019-2020. The average for in-state students was $490 per credit hour. The average full-time tuition and fees for undergraduates are shown in the table below.
| In State | Out of State | |
|---|---|---|
| Tuition | $10,810 | $19,686 |
| Books and Supplies | $1,200 | $1,200 |
| On Campus Room and Board | $12,084 | $12,084 |
| On Campus Other Expenses | $3,726 | $3,726 |
Learn more about Kent State tuition and fees.
Kent State does not offer an online option for its computer engineering tech bachelor’s degree program at this time. To see if the school offers distance learning options in other areas, visit the Kent State Online Learning page.
None of the students who received their Bachelor’s in computer engineering tech in 2019-2020 were women.
Around 16.7% of computer engineering tech bachelor’s degree recipients at Kent State in 2019-2020 were awarded to racial-ethnic minorities*. This is lower than the nationwide number of 56%.
| 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 | 4 |
| International Students | 0 |
| Other Races/Ethnicities | 1 |
*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.
