Subject-Area Teaching at CUNY Queens College

Queens, NY · Public · Bachelor's Degree · Teacher Education and Professional Development, Specific Subject Areas
81 /100
DegreeOutlook Score (Base Case) — assumes in-state tuition
82
Optimistic
81
Base Case
80
Pessimistic
Earnings $58,894/yr (41% vs median)
AI Risk High (43% exposed)
Job Market Very Large (444,600 openings/yr)
ROI 21.5x earnings multiple (10.5x out-of-state)
Ranked #1 of 348 Teacher Education programs Top 1%

How AI Changes the Outlook

Three scenarios based on how aggressively AI disrupts the career paths available to Subject-Area Teaching graduates.

Optimistic
No Disruption
Base Case
Gradual AI
Pessimistic
Aggressive AI
10-Year Earnings $666K $649K $594K
Earnings Multiple (In-State) 22.1x 21.5x 19.7x
Earnings Multiple (Out-of-State) 10.7x 10.5x 9.6x
Probability of Field Employment 78% 70% 55%
DegreeOutlook Score 82 81 80

10-Year Earnings Projection

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

4-Year Tuition, In-State (Sticker)
$30,152
Out-of-state: $61,952 (10.5x ROI)
4-Year Net Price (After Aid)
$15,320
49% less than sticker · See by income
Median Debt at Graduation
$15,178
3.1 months of Year 1 earnings
Reported Earnings (5 Year)
$69,509
18% growth from Year 1

Program Analysis

Graduates of CUNY Queens College's Subject-Area Teaching program earn $58,894/yr in their first year — 41% above the $41,690 national median, a strong market signal for this institution.

Every dollar of in-state tuition returns an estimated 21.5x in decade earnings — an exceptional ratio that places this among the highest-ROI Subject-Area Teaching programs nationally.

Some AI exposure exists in Subject-Area Teaching's typical career paths, with 43% of job tasks potentially affected. The pessimistic scenario still projects solid returns, with a 11% gap from the optimistic case.

At $15,178 in median debt against $58,894 in first-year earnings, graduates can expect to clear their loan balance in under six months of full earnings.

Ranked #1 of 348 Subject-Area Teaching programs nationally, CUNY Queens College sits in the top 1% — one of the strongest programs in the country by financial outcomes.

Five-year earnings of $69,509 are relatively flat compared to the $58,894 starting salary — typical of fields with stable but capped salary bands.

About CUNY Queens College

With a 69% acceptance rate, CUNY Queens College is moderately selective, enrolling 13,060 students in Queens, NY. With 48% of students on Pell Grants, the campus draws from a broad economic spectrum. After financial aid, the average student pays $15,320 over four years — 49% below sticker price.

See all programs and financial aid at CUNY Queens College →

Top Career Paths

Health specialties teachers, postsecondary $105,620/yr
Atmospheric, earth, marine, and space sciences teachers, postsecondary $101,390/yr
Forestry and conservation science teachers, postsecondary $100,830/yr
View all 30 career paths with salary ranges and AI risk →

Compare & Explore

Subject-Area Teaching at Other Schools

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Is a Trade Program a Better Fit?

For students who prefer applied learning, trade programs can deliver strong earnings with significantly less debt and shorter time to employment.

Frequently Asked Questions

What is the DegreeOutlook Score for Subject-Area Teaching at CUNY Queens College?
This program scores 81/100 — placing it among the stronger programs for Subject-Area Teaching nationally. The score reflects above-average earnings, manageable AI risk, and solid financial return.
Will AI replace Subject-Area Teaching careers?
With 43% of typical job tasks exposed to AI, this is one of the higher-risk fields. Our pessimistic scenario projects $594,103 in decade earnings vs $665,770 in the optimistic case — a meaningful gap.
What makes CUNY Queens College's Subject-Area Teaching program stand out?
Ranked #1 of 348 programs nationally, CUNY Queens College lands in the top 1%. The ranking reflects a combination of graduate earnings, return on investment, and job market alignment.
Scores use College Scorecard earnings, BLS employment projections, and AI task-exposure research. See full methodology →