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Computer Science at Texas A & M University-College Station

College Station, TX · Public · Bachelor's Degree
74 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
75
Optimistic
74
Base Case
67
Pessimistic
Earnings $86,084/yr (17% vs median)
AI Risk Very High (72% exposed)
Job Market Very Large (295,800 openings/yr)
ROI 16.3x earnings multiple (5.3x out-of-state)
Ranked #214 of 345 Computer Science programs

How AI Changes the Outlook

Three scenarios based on how aggressively AI disrupts the career paths available to Computer Science graduates.

Optimistic
No Disruption		 Base Case
Gradual AI		 Pessimistic
Aggressive AI
10-Year Earnings $890K $853K $663K
Earnings Multiple (In-State) 17.0x 16.3x 12.7x
Earnings Multiple (Out-of-State) 5.5x 5.3x 4.1x
Probability of Field Employment 80% 73% 40%
DegreeOutlook Score 75 74 67

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 (5.3x ROI)
4-Year Net Price (After Aid)
$83,696
-60% less than sticker · See by income
Median Debt at Graduation
$20,395
2.8 months of Year 1 earnings

Program Analysis

Texas A & M University-College Station's Computer Science graduates start at $86,084/yr — above the $73,713 national average, though not by a wide margin.

The 16.3x earnings multiple means ten-year projected earnings exceed tuition cost by an order of magnitude. By pure financial math, this is a standout.

AI risk is moderate — 72% task exposure — and the 25% scenario spread suggests disruption would dent but not destroy the earnings outlook.

Loan repayment is a non-issue here — $20,395 in median debt clears quickly against $86,084 in annual earnings.

At #214 out of 345 programs, Texas A & M University-College Station's financial outcomes for Computer Science trail the majority of peers. The value case depends on other factors.

About Texas A & M University-College Station

Texas A & M University-College Station's 63% acceptance rate reflects moderate 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
Computer and information research scientists $140,910/yr
Database architects $135,980/yr
View all 13 career paths with salary ranges and AI risk →

Compare & Explore

Compare this program → View all 345 schools offering Computer Science →

Computer Science at Other Schools

California Institute of Technology ($173,344) Carnegie Mellon University ($171,264) Massachusetts Institute of Technology ($154,492) Cornell University ($152,656) Harvard University ($152,251) Brown University ($151,065) University of California-Berkeley ($149,866) Princeton University ($146,624)

Other Majors at Texas A & M University-College Station

Marine Transportation ($87,444) Computer Engineering ($86,366) Chemical Engineering ($86,176) Electrical, Electronics and Communications Engineering ($83,389) Computer and Information Sciences, General ($81,231) Registered Nursing, Nursing Administration, Nursing Research and Clinical Nursing ($78,297) Electrical Engineering Technologies/Technicians ($78,185) Construction Engineering Technologies ($77,799)

Explore the Trade Alternative

Compare Computer Science trade programs on TradeSchoolWorth →

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

How does Texas A & M University-College Station's Computer Science program score?
A score of 74/100 reflects decent absolute metrics, but Texas A & M University-College Station trails the majority of Computer Science programs on relative rankings. Context matters more than the raw number.
How vulnerable is Computer Science to AI automation?
AI won't 'replace' Computer Science careers outright, but it is likely to reduce the number of job openings. We model 72% task exposure, which compresses field employment probability in our scenarios.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research. See full methodology →