General Computer Engineering Schools in District of Columbia
20 students earned General Computer Engineering degrees in District of Columbia in the 2022-2023 year.
As a degree choice, General Computer Engineering is the 235th most popular major in the state.
Education Levels of General Computer Engineering Majors in District of Columbia
General Computer Engineering majors in the state tend to have the following degree levels:
Education Level | Number of Grads |
---|---|
Master’s Degree | 4 |
Doctor’s Degree (Research / Scholarship) | 3 |
Doctor’s Degree (Professional Practice) | 3 |
Doctor’s Degree (Other) | 3 |
Gender Distribution
In District of Columbia, a general computer engineering major is more popular with men than with women.
Racial Distribution
The racial distribution of general computer engineering majors in District of Columbia is as follows:
- Asian: 10.0%
- Black or African American: 25.0%
- Hispanic or Latino: 10.0%
- White: 10.0%
- Non-Resident Alien: 45.0%
- Other Races: 0.0%
Jobs for General Computer Engineering Grads in District of Columbia
In this state, there are 8,100 people employed in jobs related to a general computer engineering degree, compared to 1,747,730 nationwide.
Wages for General Computer Engineering Jobs in District of Columbia
In this state, general computer engineering grads earn an average of $123,200. Nationwide, they make an average of $113,680.
Most Popular General Computer Engineering Programs in DC
There is one school in the state that offers this degree.
Of all the teachers who work at the school, 52% are considered full time. An average student at GWU will pay a net price of $34,462. The average student takes 4.10 years to complete their degree at GWU.
Request InformationGeneral Computer Engineering Careers in DC
Some of the careers general computer engineering majors go into include:
Job Title | DC Job Growth | DC Median Salary |
---|---|---|
Architectural and Engineering Managers | 3% | $148,960 |
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View Nationwide General Computer Engineering Report
References
More about our data sources and methodologies.