New York, NY
Mount Sinai Phillips School of Nursing
Mount Sinai Phillips School of Nursing is a private nonprofit institution located in New York, NY. Use its official resources to confirm whether its programs match your study plans.
Institution at a glance
- Location
- New York, NY
- Institution type
- Private nonprofit
- Institution level
- Four-year
- IPEDS institution ID
- 189282
- Directory data year
- 2025
Plan your next step
Check the institution’s current course list, applicant categories, fees and deadlines before building your shortlist.
Official institution website ↗
Official admissions resources ↗
Build a budget from this cost record →
Published undergraduate tuition and fees
Comparable published academic-year costs are not available in the connected dataset for this institution. This does not mean tuition is zero.
Historical undergraduate admissions
Fall 2018 · first-time degree/certificate-seeking undergraduate applicants.
Reported enrolled first-time undergraduates: 1.
Calculated as admitted ÷ applicants. This institution-wide historical figure is not a personal admission probability, international-student rate, transfer rate or program-specific rate. Open-admission institutions may not report this survey.
Source: IPEDS ADM2018. Source checked 2026-10-17 UTC. Verify current test policies with the institution.
Fields with reported graduates
Historical IPEDS completions, first major. Reporting years are labeled per record. Verify current program availability and degree names on the institution’s website.
| Field of study | Award level | Year ending | Completions |
|---|---|---|---|
| Registered Nursing/Registered Nurse. | Bachelor degree | 2025 | 214 |
| Registered Nursing/Registered Nurse. | Associate degree | 2021 | 20 |
NCES-derived bachelor-cohort graduation percentages
Historical full-time, first-time bachelor's or equivalent entry subcohorts, with revised-cohort adjustments and permitted exclusions. These percentages describe a defined cohort rather than all students, annual awards or an individual's outcome.
| Entry cohort | Source observation file year | Within 4 years | Within 5 years | Within 6 years |
|---|---|---|---|---|
| 2018 | 2024 | 100% | 100% | 100% |
| 2017 | 2023 | 0% | 0% | 0% |
| 2016 | 2022 | 100% | 100% | 100% |
NCES defines the selected 4-, 5- and 6-year measures for the same bachelor-seeking entry subcohort. The six-year measure is labelled 150% of normal time in the connected definitions. It does not establish the duration of your current programme.
Percentages are retained from the NCES derived file and are not recalculated here. The selected file supplies no per-cell reporting/imputation flags; the parent/child allocation status is outside this connection. Some derived campus values may use parent allocation factors. The linked dictionary's generic “Provisional/Final” heading does not distinguish a release stage for this snapshot.
Source evidence for file year 2024
Fields: GBA4RTT, GBA5RTT, GBA6RTT. Official NCES derived graduation file. Source checked 2026-10-14 UTC; retrieval date is not entry-cohort year. Source rate basis and missing values remain separate.
Source evidence for file year 2023
Fields: GBA4RTT, GBA5RTT, GBA6RTT. Official NCES derived graduation file. Source checked 2026-10-16 UTC; retrieval date is not entry-cohort year. Source rate basis and missing values remain separate.
Source evidence for file year 2022
Fields: GBA4RTT, GBA5RTT, GBA6RTT. Official NCES derived graduation file. Source checked 2026-10-16 UTC; retrieval date is not entry-cohort year. Source rate basis and missing values remain separate.
Distinguish cohort rates from retention and annual awards → · Review source populations →
About this record
Source: NCES Integrated Postsecondary Education Data System, HD2025 institution directory. Download the source dataset.
Record reviewed: 2026-10-13 UTC. Directory year is not the current application year. “Four-year” describes an institution classification; it does not mean every program lasts four years.
Costs, admissions and completion records come from separate historical datasets with their own years. Current language requirements and deadlines must be verified with the institution.
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