Artificial Intelligence Schools in District of Columbia
In <nil>, 12 students earned their AI degrees in DC.
In this state, Artificial Intelligence is the 9th most popular major out of a total 14 majors commonly available.
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Education Levels of Artificial Intelligence Majors in District of Columbia
AI majors in the state tend to have the following degree levels:
| Education Level | Number of Grads |
|---|---|
| Post-Master’s Certificate | 12 |
| Postbaccalaureate Certificate | 12 |
Gender Distribution
In District of Columbia, a ai major is more popular with men than with women.
Racial Distribution
The racial distribution of ai majors in District of Columbia is as follows:
- Asian: 25.0%
- Black or African American: 25.0%
- Hispanic or Latino: 0.0%
- White: 0.0%
- Non-Resident Alien: 50.0%
- Other Races: 0.0%
Jobs for Artificial Intelligence Grads in District of Columbia
There are 5,690 people in the state and 1,338,560 people in the nation working in ai jobs.
Wages for Artificial Intelligence Jobs in District of Columbia
In this state, ai grads earn an average of $115,610. Nationwide, they make an average of $114,000.
Most Popular Artificial Intelligence Programs in DC
There is one school in the state that offers this degree.
The student to faculty ratio is 12 to 1. Most students complete their degree in 4.10 years. Seeking financial aid? At this school, 76% of students receive it.
Artificial Intelligence Careers in DC
Some of the careers ai majors go into include:
| Job Title | DC Job Growth | DC Median Salary |
|---|---|---|
| Software Applications Developers | 34% | $113,750 |
| Computer and Information Research Scientists | 22% | $126,280 |
| Systems Software Developers | 18% | $115,500 |
Related Majors in District of Columbia
Below are some popular majors in the state that are similar to ai.
| Major | Annual Graduates in DC |
|---|---|
| Information Technology | 83 |
| General Computer Science | 37 |
View all majors related to Artificial Intelligence
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View Nationwide Artificial Intelligence Report
References
More about our data sources and methodologies.
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