Computer/Information Technology Administration at Texas A & M University-College Station

College Station, TX · Public · Bachelor's Degree · Computer/Information Technology Administration and Management
78 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
79
Optimistic
78
Base Case
72
Pessimistic
Earnings $58,127/yr (-3% vs median)
AI Risk Very High (68% exposed)
Job Market Very Large (386,000 openings/yr)
ROI 14.3x earnings multiple (4.6x out-of-state)
Ranked #19 of 102 Computer/Information Technology Administration programs Top 25%

How AI Changes the Outlook

Three scenarios based on how aggressively AI disrupts the career paths available to Computer/Information Technology Administration graduates.

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $784K $747K $619K
Earnings Multiple (In-State) 15.0x 14.3x 11.8x
Earnings Multiple (Out-of-State) 4.9x 4.6x 3.8x
Probability of Field Employment 74% 64% 39%
DegreeOutlook Score 79 78 72

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 (4.6x ROI)
4-Year Net Price (After Aid)
$83,696
-60% less than sticker · See by income
Median Debt at Graduation
$18,918
3.9 months of Year 1 earnings
Reported Earnings (5 Year)
$82,337
42% growth from Year 1

Program Analysis

At $58,127/yr, Computer/Information Technology Administration graduates from Texas A & M University-College Station land near the $59,802 national average — neither a standout nor a red flag.

Every dollar of in-state tuition returns an estimated 14.3x in decade earnings — an exceptional ratio that places this among the highest-ROI Computer/Information Technology Administration programs nationally.

Some AI exposure exists in Computer/Information Technology Administration's typical career paths, with 68% of job tasks potentially affected. The pessimistic scenario still projects solid returns, with a 21% gap from the optimistic case.

The median debt load of $18,918 represents less than half a year of starting salary — among the lightest debt-to-income ratios we track.

At #19 of 102 nationally, this is a top-5% Computer/Information Technology Administration program. Financial outcomes consistently outperform the vast majority of peers.

Earnings grow from $58,127 to $82,337 over five years — a 42% increase that's moderate and in line with typical career progression.

About Texas A & M University-College Station

Texas A & M University-College Station accepts 63% of applicants, balancing access with selectivity, 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
Managers, all other $136,550/yr
Database architects $135,980/yr
View all 13 career paths with salary ranges and AI risk →

Compare & Explore

Computer/Information Technology Administration at Other Schools

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Frequently Asked Questions

What is the DegreeOutlook Score for Computer/Information Technology Administration at Texas A & M University-College Station?
This program scores 78/100 — placing it among the stronger programs for Computer/Information Technology Administration nationally. The score reflects above-average earnings, manageable AI risk, and solid financial return.
Will AI replace Computer/Information Technology Administration careers?
With 68% of typical job tasks exposed to AI, this is one of the higher-risk fields. Our pessimistic scenario projects $619,210 in decade earnings vs $784,170 in the optimistic case — a meaningful gap.
What makes Texas A & M University-College Station's Computer/Information Technology Administration program stand out?
Ranked #19 of 102 programs nationally, Texas A & M University-College Station lands in the top 25%. 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 →