Religious Studies at Yeshiva Shaarei Torah of Rockland

Suffern, NY · Private nonprofit · Bachelor's Degree · Religion/Religious Studies
23 /100
DegreeOutlook Score (Base Case)
23
Optimistic
23
Base Case
22
Pessimistic
Earnings $29,861/yr (12% vs median)
AI Risk Very High (51% exposed)
Job Market Small (3,100 openings/yr)
ROI 8.2x earnings multiple
Ranked #12 of 40 Religion/Religious Studies programs Top 50%

How AI Changes the Outlook

Three scenarios based on how aggressively AI disrupts the career paths available to Religious Studies graduates.

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $415K $425K $412K
Earnings Multiple 8.0x 8.2x 7.9x
Probability of Field Employment 52% 45% 34%
DegreeOutlook Score 23 23 22

10-Year Earnings Projection

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

4-Year Tuition (Sticker)
$52,000
4-Year Net Price (After Aid)
$61,776
-19% less than sticker · See by income

About Yeshiva Shaarei Torah of Rockland

Admission to Yeshiva Shaarei Torah of Rockland is competitive, with 35% of applicants accepted, a compact campus enrolling 141 students in Suffern, NY.

See all programs and financial aid at Yeshiva Shaarei Torah of Rockland →

Top Career Paths

Area, ethnic, and cultural studies teachers, postsecondary $84,290/yr
Philosophy and religion teachers, postsecondary $78,050/yr
View all 2 career paths with salary ranges and AI risk →

Compare & Explore

Religious Studies at Other Schools

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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

How does Yeshiva Shaarei Torah of Rockland's Religious Studies program score?
This program scores 23/100 — on the lower end for Religious Studies. Prospective students should carefully weigh costs against likely earnings.
How vulnerable is Religious Studies to AI automation?
AI won't 'replace' Religious Studies careers outright, but it is likely to reduce the number of job openings. We model 51% 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 →