Computing & data

Computer and Information Sciences, General

University at Buffalo · Buffalo, NY

Medium evidenceMatched peers12 institutions · same subjectSee the evidence

The degree in numbers

Cost & earnings.

Annual tuition$30,572Institution-level tuition; programme fees may differ · before aid
Grouped debt estimate$23,893Same 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$64,480
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: $56,140–$68,714.

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
The University of Texas at DallasComputer and Information Sciences, General$67,324
University of ArkansasComputer and Information Sciences, General$69,079
Oklahoma State University-Main CampusComputer and Information Sciences, General$57,318
University at AlbanyComputer and Information Sciences, General$40,510
New Jersey Institute of TechnologyComputer and Information Sciences, General$64,679
University of DelawareComputer and Information Sciences, General$70,176
Texas Tech UniversityComputer and Information Sciences, General$73,562
University of North Carolina WilmingtonComputer and Information Sciences, General$45,715
University of HoustonComputer and Information Sciences, General$61,516
University of Hawaii at ManoaComputer and Information Sciences, General$52,607
The University of AlabamaComputer and Information Sciences, General$64,281
University of Wisconsin-La CrosseComputer and Information Sciences, General$68,592
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 ↗