Computer and Information Sciences, General at University of Virginia-Main Campus

Charlottesville, VA · Public · Bachelor's Degree
89 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
90
Optimistic
89
Base Case
83
Pessimistic
Earnings $98,067/yr (57% vs median)
AI Risk Very High (69% exposed)
Job Market Very Large (338,800 openings/yr)
ROI 17.6x earnings multiple (6.4x out-of-state)
Ranked #18 of 443 Computer and Information Sciences, General programs Top 5%

How AI Changes the Outlook

Three scenarios based on how aggressively AI disrupts the career paths available to Computer and Information Sciences, General graduates.

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $1,562K $1,475K $1,024K
Earnings Multiple (In-State) 18.6x 17.6x 12.2x
Earnings Multiple (Out-of-State) 6.7x 6.4x 4.4x
Probability of Field Employment 80% 74% 42%
DegreeOutlook Score 90 89 83

10-Year Earnings Projection

*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.

4-Year Tuition, In-State (Sticker)
$83,944
Out-of-state: $232,056 (6.4x ROI)
4-Year Net Price (After Aid)
$91,524
-9% less than sticker · See by income
Median Debt at Graduation
$16,547
2.0 months of Year 1 earnings
Reported Earnings (5 Year)
$160,993
64% growth from Year 1

Program Analysis

First-year earnings of $98,067 put University of Virginia-Main Campus's Computer and Information Sciences, General program 57% above the national median of $62,617 — one of the higher-earning programs in this field.

Every dollar of in-state tuition returns an estimated 17.6x in decade earnings — an exceptional ratio that places this among the highest-ROI Computer and Information Sciences, General programs nationally.

The 34% gap between optimistic and pessimistic AI scenarios is notable. With 69% of typical tasks exposed to automation, AI adoption could meaningfully shift career outcomes for Computer and Information Sciences, General graduates.

With first-year pay of $98,067 far exceeding the $16,547 median debt, the payback timeline is measured in months, not years.

At #18 of 443 nationally, this is a top-5% Computer and Information Sciences, General program. Financial outcomes consistently outperform the vast majority of peers.

Five-year earnings of $160,993 show a 64% jump from the $98,067 starting point — strong upward trajectory suggesting real career acceleration.

About University of Virginia-Main Campus

University of Virginia-Main Campus accepts 17% of applicants — selective, though not ultra-competitive, enrolling 17,315 students in Charlottesville, VA.

See all programs and financial aid at University of Virginia-Main Campus →

Top Career Paths

Computer and information systems managers $171,200/yr
Computer and information research scientists $140,910/yr
Database architects $135,980/yr
View all 14 career paths with salary ranges and AI risk →

Compare & Explore

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Not every career requires a four-year degree. Trade programs in related fields can offer competitive salaries with a fraction of the student loan burden.

Frequently Asked Questions

What is the DegreeOutlook Score for Computer and Information Sciences, General at University of Virginia-Main Campus?
This program scores 89/100 — placing it among the stronger programs for Computer and Information Sciences, General nationally. The score reflects above-average earnings, manageable AI risk, and solid financial return.
Will AI replace Computer and Information Sciences, General careers?
With 69% of typical job tasks exposed to AI, this is one of the higher-risk fields. Our pessimistic scenario projects $1,023,610 in decade earnings vs $1,561,828 in the optimistic case — a meaningful gap.
What makes University of Virginia-Main Campus's Computer and Information Sciences, General program stand out?
Ranked #18 of 443 programs nationally, University of Virginia-Main Campus lands in the top 5%. The ranking reflects a combination of graduate earnings, return on investment, and job market alignment.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research. See full methodology →