Natural Resources at Florida Atlantic University

Boca Raton, FL · Public · Certificate · Natural Resources Conservation and Research

Florida Atlantic University has a 73% acceptance rate, making it broadly accessible, serving a student body of 23,458 in Boca Raton, FL.

Program Analysis

Florida Atlantic University's Natural Resources graduates start at $36,873/yr — above the $35,086 national average, though not by a wide margin.

The 79.1x earnings multiple means ten-year projected earnings exceed tuition cost by an order of magnitude. Trade programs often deliver strong ratios, and this one is a standout.

AI risk is moderate — 48% task exposure — and the 0% scenario spread suggests disruption would dent but not destroy the earnings outlook for Natural Resources graduates.

Loan repayment is a non-issue here — $14,500 in median debt clears fast against $36,873 in annual earnings.

With only 6 programs offering Natural Resources nationally, this is a niche field. Florida Atlantic University ranks #2 among them.

With 6 registered apprenticeships mapped to Natural Resources, graduates have substantial options for hands-on training paths that pay from day one.

58 /100
TradeSchoolOutlook Score
54
Low End
58
Score
60
High End
Earnings $36,873/yr (5% vs median)
AI-Proof Moderate (52% shielded)
Job Market Large (55,700 openings/yr)

Earnings Overview

Projected 10-Year Earnings
$386K
1.0% annual growth
Earnings Multiple (In-State)
79.1x
10-year earnings ÷ tuition
Viable Career Paths
8 of 8
Occupations with strong AI resilience

Projected 10-Year Earnings

Based on actual graduate salary data and Bureau of Labor Statistics growth projections.

Program Tuition (In-State)
$4,879
Out-of-state: $17,324
Median Debt at Graduation
$14,500
4.7 months of Year 1 earnings

Top Career Paths

Top career paths for Natural Resources graduates by median salary.

Career Path Median Salary Growth AI-ProofAI
Forestry and conservation science teachers, postsecondary $100,830 +4.0% 52%
Environmental science teachers, postsecondary $87,710 +2.9% 48%
Environmental scientists and specialists, including health $80,060 +4.4% 47%
Forestry and conservation science teachers, postsecondary
$100,830
+4.0% growth 52% AI-proof
Environmental science teachers, postsecondary
$87,710
+2.9% growth 48% AI-proof
Environmental scientists and specialists, including health
$80,060
+4.4% growth 47% AI-proof

View all 8 career paths with full salary data →

Natural Resources Career Guide

Natural Resources opens doors to multiple career tracks. Our pillar guide covers every mapped occupation with salary data and AI resilience ratings.

Read the full Natural Resources career guide →

Compare & Explore

Natural Resources Overview

Natural Resources at Other Schools

Other Majors at Florida Atlantic University

Trade Certificate vs. Bachelor's Degree

Weigh shorter time-to-career against higher earning ceilings. The numbers tell the story.

Frequently Asked Questions

How does Florida Atlantic University's Natural Resources program score?
A score of 58/100 puts this program in competitive territory — solid outcomes, though not at the top of the Natural Resources field.
What's the AI risk for Natural Resources graduates from Florida Atlantic University?
AI exposure of 48% is a real factor. For Florida Atlantic University specifically, the gap between optimistic ($385,772) and pessimistic ($385,772) decade earnings reflects that uncertainty.
Are there apprenticeship options for Natural Resources?
Beyond Florida Atlantic University's classroom route, 6 registered apprenticeships map to Natural Resources careers — including Environmental Analyst. Apprenticeships trade shorter program length for longer on-the-job training, typically 2-4 years.
Will Natural Resources graduates from Florida Atlantic University find jobs?
Job availability for Natural Resources is strong — 55,700 positions open annually across the mapped career paths. For Florida Atlantic University graduates specifically, local market conditions in FL may shift the picture.
Data from College Scorecard, BLS, and AI resilience research. Methodology & sources →