Natural Resources Management and Policy at St Petersburg College

St. Petersburg, FL · Public · Bachelor's Degree
62 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
63
Optimistic
62
Base Case
60
Pessimistic
Earnings $38,766/yr (4% vs median)
AI Risk High (42% exposed)
Job Market Very Large (310,400 openings/yr)
ROI 48.5x earnings multiple (14.0x out-of-state)
Ranked #1 of 26 Natural Resources Management and Policy programs Top 5%

Program Analysis

While the numbers show a solid return, they don't capture this program's key advantage: location. You're not just studying policy in a classroom; you're living in a laboratory for coastal resource management. Florida's unique challenges—from water quality in Tampa Bay to coastal resilience and tourism's environmental impact—create a rich ecosystem for hands-on learning and internships. Graduates are well-positioned for roles with state agencies like the Florida Fish and Wildlife Conservation Commission, county governments, or environmental consulting firms that dominate the regional economy. The program's practical focus creates a direct pipeline to these public sector and applied science jobs, which value local knowledge. Your key action item: From day one, focus on securing an internship with a local government or environmental agency to build connections that lead directly to post-graduation employment.

How AI Changes the Outlook

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

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $523K $521K $485K
Earnings Multiple (In-State) 48.8x 48.5x 45.2x
Earnings Multiple (Out-of-State) 14.1x 14.0x 13.1x
Probability of Field Employment 49% 45% 35%
DegreeOutlook Score 63 62 60

10-Year Earnings Projection

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

4-Year Tuition, In-State (Sticker)
$10,728
Out-of-state: $37,144 (14.0x ROI)
4-Year Net Price (After Aid)
$-208
102% less than sticker · See by income
Median Debt at Graduation
$30,871
9.6 months of Year 1 earnings
Reported Earnings (5 Year)
$52,247
35% growth from Year 1

About St Petersburg College

serving 18,759 students in St. Petersburg, FL. After financial aid, the average student pays $-208 over four years — 102% below sticker price.

See all programs and financial aid at St Petersburg College →

Top Career Paths

Managers, all other $136,550/yr
Economics teachers, postsecondary $119,980/yr
Economists $115,440/yr
View all 19 career paths with salary ranges and AI risk →

Compare & Explore

Natural Resources Management and Policy at Other Schools

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Explore the Trade Alternative

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

What does a 62/100 DegreeOutlook Score mean for Natural Resources Management and Policy at St Petersburg College?
At 62/100, St Petersburg College's Natural Resources Management and Policy program delivers middling returns. School cost and personal fit become important decision factors.
Should I worry about AI if I study Natural Resources Management and Policy at St Petersburg College?
The 42% AI task exposure score is above average. Our model shows this affecting job availability more than salaries — graduates may face stiffer competition for fewer positions.
Is St Petersburg College one of the best schools for Natural Resources Management and Policy?
Among 26 Natural Resources Management and Policy programs, St Petersburg College's #1 position reflects consistently above-average results across earnings, ROI, and employment probability.
What do students actually pay for Natural Resources Management and Policy at St Petersburg College?
The 102% gap between sticker price and net cost means most students pay far less than $10,728. At a net cost of $-208, the earnings multiple improves substantially.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research. See full methodology →