Computer and Information Sciences at St. John's University-New York
Bachelor's Degree
Analysis
St. John's computer science graduates start behind their New York peers—earning $52,422 initially ranks this program in just the 25th percentile statewide, roughly $10,000 below the state median. That's a significant gap in a region known for strong tech salaries, and it places this program closer to the bottom quarter of options in New York rather than the middle of the pack.
The silver lining is genuine earnings growth: salaries jump 41% to nearly $74,000 by year four, suggesting graduates eventually find their footing in the market. The $27,000 debt load is reasonable, translating to a 0.52 debt-to-earnings ratio that won't derail financial stability. Still, even after that growth, graduates remain below what many peers at schools like Stony Brook or NYU earn right out of the gate.
For families paying private university tuition in New York, this presents a challenging value equation. Your child would graduate with manageable debt but trailing most comparable programs in the state. If St. John's offers merit aid that brings costs down substantially, the math improves. Otherwise, a SUNY option might deliver better initial placement without the premium price tag.
Where St. John's University-New York Stands
Earnings vs. debt across all computer and information sciences bachelors's programs nationally
Programs in the upper-left quadrant (high earnings, low debt) offer the best value. Programs in the lower-right quadrant warrant careful consideration.
Earnings Distribution
How St. John's University-New York graduates compare to all programs nationally
St. John's University-New York graduates earn $52k, placing them in the 27th percentile of all computer and information sciences bachelors programs nationally.
Earnings Over Time
How earnings evolve from 1 year to 4 years after graduation
Earnings trajectories vary significantly. Some programs show strong early returns that plateau; others start lower but accelerate. Consider where you want to be at year 4, not just year 1.
Compare to Similar Programs in New York
Computer and Information Sciences bachelors's programs at peer institutions in New York (68 total in state)
| School | Earnings (1yr) | Earnings (4yr) | Median Debt | Debt/Earnings |
|---|---|---|---|---|
| St. John's University-New York | $52,422 | $73,857 | $27,000 | 0.52 |
| Barnard College | $107,434 | — | $19,000 | 0.18 |
| Cornell University | $103,650 | $118,342 | $15,500 | 0.15 |
| Stony Brook University | $90,673 | $121,708 | $16,868 | 0.19 |
| New York University | $87,608 | $129,248 | $19,734 | 0.23 |
| Rensselaer Polytechnic Institute | $85,172 | — | $27,000 | 0.32 |
| National Median | $61,322 | — | $25,000 | 0.41 |
Other Computer and Information Sciences Programs in New York
Compare tuition, earnings, and debt across New York schools
| School | In-State Tuition | Earnings (1yr) | Debt |
|---|---|---|---|
| Barnard College New York | $66,246 | $107,434 | $19,000 |
| Cornell University Ithaca | $66,014 | $103,650 | $15,500 |
| Stony Brook University Stony Brook | $10,560 | $90,673 | $16,868 |
| New York University New York | $60,438 | $87,608 | $19,734 |
| Rensselaer Polytechnic Institute Troy | $61,884 | $85,172 | $27,000 |
About This Data
Source: U.S. Department of Education College Scorecard (October 2025 release)
Population: Graduates who received federal financial aid (Title IV grants or loans). At St. John's University-New York, approximately 24% of students receive Pell grants. Students who did not receive federal aid are not included in these figures.
Earnings: Median earnings from IRS W-2 data for graduates who are employed and not enrolled in further education, measured 1 year after completion. Earnings are pre-tax and include wages, salaries, and self-employment income.
Debt: Median cumulative federal loan debt at graduation. Does not include private loans or Parent PLUS loans borrowed on behalf of students.
Sample Size: Based on 76 graduates with reported earnings and 87 graduates with debt data. Small samples may not be representative.