Median Earnings (1yr)
$67,315
65th percentile (60th in DC)
Median Debt
$50,737
103% above national median
Debt-to-Earnings
0.75
Manageable
Sample Size
379
Adequate data

Analysis

Strayer University-District of Columbia's Computer Science program produces graduates earning significantly more than the national average, but at a steep financial cost. With first-year earnings of $67,315—about $6,000 above the national median—graduates enter a strong job market, particularly in DC's tech-heavy economy. The program ranks in the 65th percentile nationally and 60th percentile within DC, putting it solidly in the upper tier of computer science programs.

The major concern is debt load. At $50,737, graduates carry roughly double the national average debt for this field, ranking in the bottom 5th percentile nationally for affordability. This creates a debt-to-earnings ratio of 0.75, meaning students borrow about three-quarters of their first year's salary. While earnings do grow nicely to $77,481 by year four—a healthy 15% increase—the high debt burden means longer payback periods than typical computer science graduates face.

Given that 71% of students receive Pell grants, many families are likely weighing this program against more affordable state school options. The earnings are respectable and DC offers excellent tech opportunities, but the debt load is substantial. Families should carefully compare total program costs against local alternatives, as the earnings premium may not justify paying twice the typical debt burden for a computer science degree.

Where Strayer University-District of Columbia Stands

Earnings vs. debt across all computer and information sciences bachelors's programs nationally

Strayer University-District of ColumbiaOther computer and information sciences programs

Programs in the upper-left quadrant (high earnings, low debt) offer the best value. Programs in the lower-right quadrant warrant careful consideration.

Earnings Distribution

How Strayer University-District of Columbia graduates compare to all programs nationally

Strayer University-District of Columbia graduates earn $67k, placing them in the 65th percentile of all computer and information sciences bachelors programs nationally.

Earnings Over Time

How earnings evolve from 1 year to 4 years after graduation

Earnings trajectories vary significantly. Some programs show strong early returns that plateau; others start lower but accelerate. Consider where you want to be at year 4, not just year 1.

Compare to Similar Programs in District of Columbia

Computer and Information Sciences bachelors's programs at peer institutions in District of Columbia (6 total in state)

SchoolEarnings (1yr)Earnings (4yr)Median DebtDebt/Earnings
Strayer University-District of Columbia$67,315$77,481$50,7370.75
George Washington University$71,192$112,715$24,5000.34
Strayer University-Global Region$67,315$77,481$50,7370.75
National Median$61,322—$25,0000.41

Other Computer and Information Sciences Programs in District of Columbia

Compare tuition, earnings, and debt across District of Columbia schools

SchoolIn-State TuitionEarnings (1yr)Debt
George Washington University
Washington
$64,990$71,192$24,500
Strayer University-Global Region
Washington
$13,920$67,315$50,737

About This Data

Source: U.S. Department of Education College Scorecard (October 2025 release)

Population: Graduates who received federal financial aid (Title IV grants or loans). At Strayer University-District of Columbia, approximately 71% of students receive Pell grants. Students who did not receive federal aid are not included in these figures.

Earnings: Median earnings from IRS W-2 data for graduates who are employed and not enrolled in further education, measured 1 year after completion. Earnings are pre-tax and include wages, salaries, and self-employment income.

Debt: Median cumulative federal loan debt at graduation. Does not include private loans or Parent PLUS loans borrowed on behalf of students.

Sample Size: Based on 379 graduates with reported earnings and 460 graduates with debt data. Small samples may not be representative.