Computing & data

Computer and Information Sciences, General

University of South Carolina Aiken · Aiken, SC

Medium evidenceMatched peers12 institutions · same subjectSee the evidence

The degree in numbers

Cost & earnings.

Annual tuition$21,218Institution-level tuition; programme fees may differ · before aid
Grouped debt estimate$25,040Same subject at 12 matched peer institutions · bachelor's

Earnings context

One career stage.
A clearer comparison.

USD · Bachelor's · 2 years after completion
Same source release. National references exclude this degree.

Selected degree estimate$48,745
Same subject · national$57,318
Computing & data · national$59,620

Behind the number

Your comparison group.

Medium evidence

Same subject at 12 matched peer institutions · bachelor's

Grouped estimate. Middle half of comparison values: $43,798–$56,641.

Historical earnings archive. College Scorecard legacy FOS archive (file dated 2022-01-19; cohorts vary). Do not interpret this as today's graduate salary. Further study and career changes are not modelled by this early-career figure.

Bachelor's outcomes · 2 years after completion
Institution & subjectReported earnings
Angelo State UniversityComputer and Information Sciences, General$50,439
South Carolina State UniversityComputer and Information Sciences, General$32,925
University of Arkansas-Fort SmithComputer and Information Sciences, General$61,218
Southern Oregon UniversityComputer and Information Sciences, General$48,432
Rhode Island CollegeComputer and Information Sciences, General$65,797
SUNY at FredoniaComputer and Information Sciences, General$49,058
Colorado Mesa UniversityComputer and Information Sciences, General$47,260
Indiana University-SoutheastComputer and Information Sciences, General$44,170
Western Connecticut State UniversityComputer and Information Sciences, General$57,318
The University of Texas Permian BasinComputer and Information Sciences, General$56,415
Morehead State UniversityComputer and Information Sciences, General$41,565
Indiana University-KokomoComputer and Information Sciences, General$42,682
How matching & uncertainty work

We first look for the same subject code (or exact subject name), qualification, country, currency, source release and earnings horizon. Peer institutions are matched using admissions selectivity, completion rates, undergraduate size and institution type, with a small preference for the same region. These are institutional proxies, not a ranking of programme quality.

If subject-matched peers are sparse, we try related subjects at closely matched universities, related degrees at this university, then an explicitly labelled national reference. We never multiply a salary by a university prestige score.

Peer and national estimates give each reporting institution one vote, after taking the median of its related programmes. Shared branch-campus outcomes count once. The middle-half range describes variation between reporting institutions. It is not an individual salary range or a statistical confidence interval.

Evidence labels describe match quality and coverage, not validated prediction accuracy. Admissions and size are undergraduate institutional measures, so graduate-degree comparisons are especially approximate.

Historical cohort outcomes are not promised salaries or a causal effect of attending this programme. College Scorecard earnings cover eligible federal-aid recipients, not every graduate or international student. Source definitions ↗