Nutrition & Food Science at Johnson & Wales University-Online

Providence, RI · Private nonprofit · Bachelor's Degree · Foods, Nutrition, and Related Services
39 /100
DegreeOutlook Score (Base Case)
40
Optimistic
39
Base Case
39
Pessimistic
Earnings $32,586/yr (3% vs median)
AI Risk High (45% exposed)
Job Market Very Large (306,000 openings/yr)
ROI 8.8x earnings multiple
Ranked #31 of 38 Foods, Nutrition, and Related Services programs

How AI Changes the Outlook

Three scenarios based on how aggressively AI disrupts the career paths available to Nutrition & Food Science graduates.

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $466K $468K $445K
Earnings Multiple 8.7x 8.8x 8.3x
Probability of Field Employment 52% 47% 36%
DegreeOutlook Score 40 39 39

10-Year Earnings Projection

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

4-Year Tuition (Sticker)
$53,460
4-Year Net Price (After Aid)
$86,444
-62% less than sticker · See by income
Median Debt at Graduation
$27,000
9.9 months of Year 1 earnings
Reported Earnings (5 Year)
$41,943
29% growth from Year 1

About Johnson & Wales University-Online

With a 54% acceptance rate, Johnson & Wales University-Online is moderately selective, a smaller institution with 1,980 students in Providence, RI.

See all programs and financial aid at Johnson & Wales University-Online →

Top Career Paths

Family and consumer sciences teachers, postsecondary $77,280/yr
Dietitians and nutritionists $73,850/yr
Food service managers $65,310/yr
View all 6 career paths with salary ranges and AI risk →

Compare & Explore

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Frequently Asked Questions

How does Johnson & Wales University-Online's Nutrition & Food Science program score?
This program scores 39/100 — on the lower end for Nutrition & Food Science. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Nutrition & Food Science to AI automation?
AI won't 'replace' Nutrition & Food Science careers outright, but it is likely to reduce the number of job openings. We model 45% task exposure, which compresses field employment probability in our scenarios.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research. See full methodology →