Median Earnings (1yr)
$61,046
49th percentile (60th in FL)
Median Debt
$24,489
2% below national median
Debt-to-Earnings
0.40
Manageable
Sample Size
407
Adequate data

Analysis

University of South Florida's computer science program delivers strong career momentum, with graduates seeing their salaries jump from $61,046 to $79,104 over four years—a robust 30% increase that outpaces many competing programs. While first-year earnings land near the national average, this program shines in Florida's competitive landscape, ranking in the 60th percentile among the state's 39 computer science programs.

The debt picture looks reasonable at $24,489, creating a manageable 0.40 debt-to-earnings ratio that sits close to both national and state medians. What's particularly encouraging is how USF graduates' earning potential accelerates after that first year, suggesting the program provides skills that employers increasingly value with experience.

The main limitation here is clear: USF can't match the elite earning power of University of Florida ($90,651) or other top-tier Florida programs. However, with a 41% admission rate compared to UF's selectivity, USF offers a more accessible path into a growing field. For families seeking solid returns without crushing debt, this program represents a practical choice that balances affordability with genuine career growth potential in Florida's tech market.

Where University of South Florida Stands

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

University of South FloridaOther 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 University of South Florida graduates compare to all programs nationally

University of South Florida graduates earn $61k, placing them in the 49th 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 Florida

Computer and Information Sciences bachelors's programs at peer institutions in Florida (39 total in state)

SchoolEarnings (1yr)Earnings (4yr)Median DebtDebt/Earnings
University of South Florida$61,046$79,104$24,4890.40
University of Florida$90,651$108,528$16,0000.18
University of Florida-Online$90,651$108,528$16,0000.18
Rollins College$69,707$72,024$27,0000.39
University of Central Florida$68,793$78,429$22,7510.33
Strayer University-Florida$67,315$77,481$50,7370.75
National Median$61,322$25,0000.41

Other Computer and Information Sciences Programs in Florida

Compare tuition, earnings, and debt across Florida schools

SchoolIn-State TuitionEarnings (1yr)Debt
University of Florida
Gainesville
$6,381$90,651$16,000
University of Florida-Online
Gainesville
$3,876$90,651$16,000
Rollins College
Winter Park
$58,300$69,707$27,000
University of Central Florida
Orlando
$6,368$68,793$22,751
Strayer University-Florida
Tampa
$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 University of South Florida, approximately 30% 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 407 graduates with reported earnings and 346 graduates with debt data. Small samples may not be representative.