Natural Resources Conservation and Research at Texas A & M University-Corpus Christi

Corpus Christi, TX · Public · Bachelor's Degree
41 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
41
Optimistic
41
Base Case
37
Pessimistic
Earnings $37,497/yr (9% vs median)
AI Risk High (48% exposed)
Job Market Large (55,700 openings/yr)
ROI 13.1x earnings multiple (6.1x out-of-state)
Ranked #62 of 256 Natural Resources Conservation and Research programs Top 25%

How AI Changes the Outlook

Three scenarios based on how aggressively AI disrupts the career paths available to Natural Resources Conservation and Research graduates.

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $512K $510K $475K
Earnings Multiple (In-State) 13.1x 13.1x 12.2x
Earnings Multiple (Out-of-State) 6.1x 6.1x 5.7x
Probability of Field Employment 49% 44% 33%
DegreeOutlook Score 41 41 37

10-Year Earnings Projection

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

4-Year Tuition, In-State (Sticker)
$38,992
Out-of-state: $84,132 (6.1x ROI)
4-Year Net Price (After Aid)
$60,548
-55% less than sticker · See by income
Median Debt at Graduation
$26,000
8.3 months of Year 1 earnings
Reported Earnings (5 Year)
$50,178
34% growth from Year 1

Program Analysis

Texas A & M University-Corpus Christi's Natural Resources Conservation and Research graduates start at $37,497/yr — above the $34,545 national average, though not by a wide margin.

The 13.1x 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 — 48% task exposure — and the 7% scenario spread suggests disruption would dent but not destroy the earnings outlook.

The $26,000 debt-to-$37,497 income ratio translates to about 8 months of earnings. Standard loan terms should handle this comfortably.

Ranked #62 out of 256 programs, Texas A & M University-Corpus Christi's Natural Resources Conservation and Research program lands in the top 5% — a strong signal of graduate success.

The five-year earnings trajectory from $37,497 to $50,178 shows 34% growth, reflecting steady but unremarkable salary progression.

About Texas A & M University-Corpus Christi

A 89% acceptance rate means Texas A & M University-Corpus Christi is accessible to most applicants, with a mid-sized student body of 7,804 in Corpus Christi, TX.

See all programs and financial aid at Texas A & M University-Corpus Christi →

Top Career Paths

Forestry and conservation science teachers, postsecondary $100,830/yr
Environmental science teachers, postsecondary $87,710/yr
Environmental scientists and specialists, including health $80,060/yr
View all 8 career paths with salary ranges and AI risk →

Compare & Explore

Natural Resources Conservation and Research at Other Schools

Other Majors at Texas A & M University-Corpus Christi

Is a Trade Program a Better Fit?

For students who prefer applied learning, trade programs can deliver strong earnings with significantly less debt and shorter time to employment.

Frequently Asked Questions

How does Texas A & M University-Corpus Christi's Natural Resources Conservation and Research program score?
This program scores 41/100 — on the lower end for Natural Resources Conservation and Research. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Natural Resources Conservation and Research to AI automation?
AI won't 'replace' Natural Resources Conservation and Research careers outright, but it is likely to reduce the number of job openings. We model 48% task exposure, which compresses field employment probability in our scenarios.
Why does Texas A & M University-Corpus Christi rank so high for Natural Resources Conservation and Research?
The #62 ranking out of 256 programs is driven by strong financial outcomes — graduates earn well, debt is manageable relative to income, and the job market supports the field.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research. See full methodology →