What this data can & can't answer
10answerable
2partial
3not in data
| 1. Start as PT? | Yes |
| 2. Stay PT? | Yes |
| 3. FT→PT switch? | Yes |
| 4. Back & forth? | Yes |
| 5. PT by degree? | Yes |
| 6. How PT (3–6/6–9)? | Partial |
| 7. Course access/times? | Yes |
| 8. Program start dates? | No |
| 9. Demographics PT vs FT? | Yes |
| 10. Time to degree? | Yes |
| 11. Stop-out / re-entry? | Yes |
| 12. Curriculum-logic impact? | No |
| 13. CPL scheduling? | No |
| 14. Benefits × PT/FT? | Partial |
| 15. Summer/winter sessions? | No |
Time-to-degree (Q10) uses Months from Admit to Grad ÷ 12; course access/times (Q7) is now answered via the campus foot-traffic data below. Still out of reach: program start-date structure (8), curriculum-logic interpretation (12), CPL records (13), and summer/winter sessions (15 — the enrollment panel holds only Fall & Spring).
Enrollment volume — context
- Across all terms enrollment splits almost evenly: 50% part-time / 50% full-time.
- The trend shows part-time and full-time moving roughly in parallel each term, with the usual Fall > Spring seasonality.
Q1 · How many students start part-time?
- Among first-time freshmen (n=15,907), 18% enter part-time.
- The entry-term trend shows the PT-start share is fairly steady year to year.
- Spring entrants start part-time far more often (20%) than Fall entrants (17%) — a Spring intake is structurally more part-time.
Q2 · Do part-time starters stay part-time?
- Of PT freshmen with 2+ terms (n=1,712), 43% remain PT every term; the rest attempt full-time at least once.
- By Fall entry cohort (F15→F24) the 'stays PT' rate is broadly stable.
- Note: cohort outcome shown by entry term; recent cohorts (F23–F24) have had less time to switch, so their rates are partly right-censored.
Q3 · Start full-time, then switch to part-time?
- 46% of full-time starters (n=13,017) drop to part-time in a later term.
- FT→PT slippage is common; by Fall cohort (F15→F24) it's fairly steady, though recent cohorts have had less time to slip (right-censored).
Q4 · Do students switch back and forth?
- 40% never switch · 40% switch once · 20% oscillate (≥2 switches).
- True back-and-forth is a real but minority pattern; by Fall cohort (F15→F24) recent cohorts show fewer switches simply because they've had fewer terms (right-censored).
Q5 · Part-time enrollment by degree
- PT volume is led by AAS (26,833), then AA and non-degree. Full-time leans more toward AA/AAS degree-seekers.
- Non-degree is overwhelmingly part-time (dual-enrollment / permit students) — visible as the orange line.
- Health AAS programs (Nursing, Dental Hygiene, Rad Tech) drive much of the AAS part-time load — relevant for sequenced-curriculum scheduling.
Q6 · How part-time are they? (estimated credit load)
- Median PT load ≈ 6 credits; the 3–6 and 6–9 bands are the core of part-time.
- The PT load (solid = median, dotted = mean) sits well below FT every term. Median ≈ 6 (the typical PT student); mean ≈ 6.6, pulled up by heavier-load part-timers — both shown so you can read either.
- Caveat: estimated by differencing cumulative earned credits (no per-term registration field), so it's approximate and understates dropped/failed attempts.
Q7 · Course access & times — campus foot traffic (FT vs PT)
↗ Open the interactive dashboard — filter by term, department, program, building, month
- This answers the "course access / availability / times" question the enrollment file could not: it shows when students are on campus, by day-of-week and hour, split full-time vs part-time (711,307 records → visit-hours).
- Part-time students carry the heavier evening footprint (≈5–8pm, Mon–Thu) and out-total full-time overall (1.81M vs 1.17M visit-hours) — directly relevant to where added sections, services, and CPL advising should sit.
- The image above is the all-terms global view; the button opens the full interactive dashboard (served alongside this page).
Q9 · Demographics of part- vs full-time
- Global (age): PT skews to the extremes — more under-19 (dual enrollment) and more 30+ (working adults); FT concentrates at 19–22.
- Trend: the share of PT students aged 30+ runs consistently above FT every term.
- Fall/Spring: women are the majority in both groups and a few points higher among PT.
Q10 · Time to degree (months admit→grad ÷ 12)
- Overall: median 3.4 yrs, mean 3.9 yrs from admission to graduation (n=21,637). Median = the typical graduate; mean runs higher because a tail of long completers pulls it up. Both are shown.
- Where PT/FT status is known (10,202 of 21,637 grads, ~47%), mostly-part-time grads take much longer: median 4.4 vs 3.0 yrs (means 4.9 vs 3.4).
- The trend is limited to grad years 2014-15→2024-25, where the PT/FT join has hundreds of grads/year; earlier years had only a handful of matched records and produced misleading spikes, so they're excluded.
- By grad semester, Summer completers finish a touch faster; AAS is the slowest degree, certificates the fastest.
Q11 · Stop-out & re-entry
- Typical gap is short: median 2 semesters (mean 2.8); a single one-semester gap dominates.
- Stop-out propensity is similar for PT and FT entrants over time — supports a fast 'win-back within ~1 year' outreach window.
Q14 · Public benefits & aid by enrollment intensity
- Source: these are term-level Yes/No flags in the enrollment extract — Pell (federal Pell Grant), TAP (NY Tuition Assistance Program), APTS (NY Aid for Part-Time Study), and Public assist. (the file's AFDC flag — a public-assistance indicator). They show aid/benefit receipt, the available proxy for benefit access.
- Need-based aid is tied to full-time: Pell 77% FT vs 45% PT; TAP 49% vs 6%. PT students largely lose TAP.
- APTS is the only PT-specific lever and reaches just ~3% of PT records — an under-used cushion. Verdict: partial — the benefit↔intensity interaction is answerable; future work-requirement impacts are not (no work-hours data in the file).