Forestry at Stephen F Austin State University
Nacogdoches, TX · Public · Bachelor's Degree
DegreeOutlook Score (Base Case) — assumes in-state tuition
37
Optimistic
36
Base Case
36
Pessimistic
Earnings
$39,953/yr (-6% vs median)
AI Risk
Moderate (34% exposed)
Job Market
Medium (18,100 openings/yr)
ROI
11.3x earnings multiple (5.8x out-of-state)
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to Forestry graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $476K | $477K | $452K |
| Earnings Multiple (In-State) | 11.2x | 11.3x | 10.7x |
| Earnings Multiple (Out-of-State) | 5.8x | 5.8x | 5.5x |
| Probability of Field Employment | 48% | 45% | 38% |
| DegreeOutlook Score | 37 | 36 | 36 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition, In-State (Sticker)
$42,400
Out-of-state: $82,720 (5.8x ROI)
Median Debt at Graduation
$21,597
6.5 months of Year 1 earnings
About Stephen F Austin State University
A 88% acceptance rate means Stephen F Austin State University is accessible to most applicants, enrolling 8,746 students in Nacogdoches, TX.
See all programs and financial aid at Stephen F Austin State University →Top Career Paths
Forestry and conservation science teachers, postsecondary
$100,830/yr
Foresters
$70,660/yr
Conservation scientists
$67,950/yr
Compare & Explore
Forestry at Other Schools
Other Majors at Stephen F Austin State University
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 Forestry at Stephen F Austin State University?
A score of 36/100 indicates below-average financial outcomes for Forestry. Earnings, ROI, or AI risk factors are pulling the score down.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research.
See full methodology →