Computer and Information Sciences, General at Texas A & M University-College Station

College Station, TX · Public · Bachelor's Degree
89 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
90
Optimistic
89
Base Case
82
Pessimistic
Earnings $81,231/yr (30% vs median)
AI Risk Very High (69% exposed)
Job Market Very Large (338,800 openings/yr)
ROI 19.7x earnings multiple (6.4x out-of-state)
Ranked #16 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 $1,082K $1,034K $773K
Earnings Multiple (In-State) 20.6x 19.7x 14.8x
Earnings Multiple (Out-of-State) 6.7x 6.4x 4.8x
Probability of Field Employment 80% 74% 42%
DegreeOutlook Score 90 89 82

10-Year Earnings Projection

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

4-Year Tuition, In-State (Sticker)
$52,396
Out-of-state: $161,312 (6.4x ROI)
4-Year Net Price (After Aid)
$83,696
-60% less than sticker · See by income
Reported Earnings (5 Year)
$114,065
40% growth from Year 1

Program Analysis

First-year earnings of $81,231 put Texas A & M University-College Station's Computer and Information Sciences, General program 30% 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 19.7x in decade earnings — an exceptional ratio that places this among the highest-ROI Computer and Information Sciences, General programs nationally.

Some AI exposure exists in Computer and Information Sciences, General's typical career paths, with 69% of job tasks potentially affected. The pessimistic scenario still projects solid returns, with a 28% gap from the optimistic case.

At #16 of 443 nationally, this is a top-5% Computer and Information Sciences, General program. Financial outcomes consistently outperform the vast majority of peers.

Earnings grow from $81,231 to $114,065 over five years — a 40% increase that's moderate and in line with typical career progression.

About Texas A & M University-College Station

A 63% admission rate makes Texas A & M University-College Station accessible to a wide range of qualified students, one of the larger campuses at 59,099 students in College Station, TX.

See all programs and financial aid at Texas A & M University-College Station →

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

Computer and Information Sciences, General at Other Schools

Compare Computer and Information Sciences, General

Other Majors at Texas A & M University-College Station

Consider the Trade Route?

Trade programs often mean less time in school, lower student debt, and hands-on career paths that tend to be more resilient to AI disruption.

Frequently Asked Questions

What is the DegreeOutlook Score for Computer and Information Sciences, General at Texas A & M University-College Station?
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 $773,429 in decade earnings vs $1,081,668 in the optimistic case — a meaningful gap.
What makes Texas A & M University-College Station's Computer and Information Sciences, General program stand out?
Ranked #16 of 443 programs nationally, Texas A & M University-College Station 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 →