Computer and Information Sciences at University of South Carolina-Upstate
Bachelor's Degree
uscupstate.eduAnalysis
USC Upstate's computer science program underperforms both state and national benchmarks by a significant margin. Graduates earn $50,000 in their first year—about $15,800 less than the South Carolina median for CS programs and $11,300 below the national average. This places the program in the bottom quartile both statewide (25th percentile) and nationally (22nd percentile). For comparison, students at USC Columbia earn nearly $19,000 more annually with similar in-state tuition costs.
The one bright spot is manageable debt: at $31,000, it's only slightly above typical CS program debt and results in a reasonable debt-to-earnings ratio of 0.62. Earnings also grow steadily to $56,000 by year four, suggesting graduates do find career traction. However, even at that level, they're still earning less than first-year graduates from most other South Carolina CS programs.
For families considering computer science in South Carolina, this program represents a substantial earnings discount compared to other in-state options. Unless there are compelling personal reasons to choose USC Upstate—location, smaller class sizes, or specific support systems—students with competitive admission credentials should strongly consider applying to USC Columbia or Clemson, where the earnings premium would likely pay for any modest increase in cost within the first few years of employment.
Where University of South Carolina-Upstate Stands
Earnings vs. debt across all computer and information sciences bachelors's programs nationally
Earnings Distribution
How University of South Carolina-Upstate graduates compare to all programs nationally
Earnings Over Time
How earnings evolve from 1 year to 4 years after graduation
| School | 1 Year | 4 Years | Growth |
|---|---|---|---|
| University of South Carolina-Upstate | $49,999 | $56,132 | +12% |
| Clemson University | $73,374 | $100,006 | +36% |
| College of Charleston | $67,438 | $94,025 | +39% |
| University of South Carolina-Columbia | $68,597 | $78,153 | +14% |
| Strayer University-South Carolina | $67,315 | $77,481 | +15% |
Compare to Similar Programs in South Carolina
Computer and Information Sciences bachelors's programs at peer institutions in South Carolina (25 total in state)
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| School | In-State Tuition | Earnings (1yr) | Earnings (4yr) | Median Debt | Debt/Earnings |
|---|---|---|---|---|---|
| $11,583 | $49,999 | $56,132 | $31,000 | 0.62 | |
| $15,554 | $73,374 | $100,006 | $22,498 | 0.31 | |
| $12,570 | $71,213 | — | $21,375 | 0.30 | |
| $12,688 | $68,597 | $78,153 | $25,250 | 0.37 | |
| $12,978 | $67,438 | $94,025 | $25,000 | 0.37 | |
| $13,920 | $67,315 | $77,481 | $50,737 | 0.75 | |
| National Median | — | $61,322 | — | $25,000 | 0.41 |
Career Paths
Occupations commonly associated with computer and information sciences graduates
Computer and Information Systems Managers
Computer and Information Research Scientists
Software Developers
Software Quality Assurance Analysts and Testers
Computer Network Architects
Telecommunications Engineering Specialists
Information Security Analysts
Database Administrators
Database Architects
Data Warehousing Specialists
Data Scientists
Business Intelligence Analysts
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 Carolina-Upstate, approximately 45% 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 84 graduates with reported earnings and 88 graduates with debt data. Small samples may not be representative.