Nutrition Sciences at Seattle Pacific University
Seattle, WA · Private nonprofit · Bachelor's Degree
DegreeOutlook Score (Base Case)
32
Optimistic
31
Base Case
30
Pessimistic
Earnings
$39,317/yr (29% vs median)
AI Risk
High (44% exposed)
Job Market
Large (58,000 openings/yr)
ROI
3.0x earnings multiple
How AI Changes the Outlook
Three scenarios based on how aggressively AI disrupts the career paths available to Nutrition Sciences graduates.
| Optimistic No Disruption |
Base Case Gradual AI |
Pessimistic Aggressive AI |
|
|---|---|---|---|
| 10-Year Earnings | $471K | $473K | $449K |
| Earnings Multiple | 3.0x | 3.0x | 2.9x |
| Probability of Field Employment | 52% | 47% | 36% |
| DegreeOutlook Score | 32 | 31 | 30 |
10-Year Earnings Projection
*Year 1 uses actual reported earnings. Scenarios diverge as AI impact compounds over time.
4-Year Tuition (Sticker)
$155,256
Median Debt at Graduation
$26,000
7.9 months of Year 1 earnings
About Seattle Pacific University
Seattle Pacific University accepts 91% of applicants — an open-access institution by design, a compact campus enrolling 2,073 students in Seattle, WA. Financial aid reduces the effective four-year cost to $99,280 — 36% less than the list price.
See all programs and financial aid at Seattle Pacific University →Top Career Paths
Natural sciences managers
$161,180/yr
Health specialties teachers, postsecondary
$105,620/yr
Biological scientists, all other
$93,330/yr
Compare & Explore
Nutrition Sciences at Other Schools
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Frequently Asked Questions
What is the DegreeOutlook Score for Nutrition Sciences at Seattle Pacific University?
A score of 31/100 indicates below-average financial outcomes for Nutrition Sciences. Earnings, ROI, or AI risk factors are pulling the score down.
Will AI replace Nutrition Sciences careers?
With 44% of typical job tasks exposed to AI, this is one of the higher-risk fields. Our pessimistic scenario projects $448,809 in decade earnings vs $471,113 in the optimistic case — a meaningful gap.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research.
See full methodology →