General Computer Engineering is a concentration offered under the computer engineering major at University of Maryland - Baltimore County. Here, you’ll find out more about the major bachelor’s degree program in general computer engineering, 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 UMBC paid an average of $1,010 per credit hour in 2019-2020. The average for in-state students was $361 per credit hour. The following table shows the average full-time tuition and fees for undergraduates.
In State | Out of State | |
---|---|---|
Tuition | $8,704 | $24,338 |
Fees | $716 | $716 |
Books and Supplies | $1,600 | $1,600 |
On Campus Room and Board | $12,616 | $12,616 |
On Campus Other Expenses | $3,482 | $3,482 |
Learn more about UMBC tuition and fees.
UMBC does not offer an online option for its general computer engineering bachelor’s degree program at this time. To see if the school offers distance learning options in other areas, visit the UMBC Online Learning page.
Women made up around 12.1% of the general computer engineering students who took home a bachelor’s degree in 2019-2020. This is less than the nationwide number of 15.0%.
Around 34.8% of general computer engineering bachelor’s degree recipients at UMBC in 2019-2020 were awarded to racial-ethnic minorities*. This is lower than the nationwide number of 40%.
Race/Ethnicity | Number of Students |
---|---|
Asian | 12 |
Black or African American | 7 |
Hispanic or Latino | 4 |
Native American or Alaska Native | 0 |
Native Hawaiian or Pacific Islander | 0 |
White | 25 |
International Students | 14 |
Other Races/Ethnicities | 4 |
*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.