1. Academic Standing & GPA
Adjust your cumulative college GPA and target transfer horizon.
Cumulative College GPA
3.40
2.50
3.00
3.40 (Current)
3.70
4.00
2. Prerequisite Coursework Matrix
CAS Data Science requires a rigorous calculus and computing foundation prior to upper-division declaration.
3. Quantitative & DS Extracurriculars
High-impact research, technical clubs, or portfolio projects help balance sub-3.7 GPAs.
GPA Assessment Benchmark
3.4 GPA is slightly below typical competitive transfer range (3.6+ recommended for DS), making prerequisite strength and essay crucial.
32
Est. Transferable Credits (C or better)
64
NYU CAS Min. In-Residence Credits
Prerequisite Gap Analysis
Foundational requirements needed for CAS DS core declaration (Calculus sequence, Linear Algebra, & Programming).
Personalized Application Action Plan
Recommended tactical roadmap before NYU CAS transfer submission:
Context & Provenance: Derived from real prospective student queries on r/nyu: Transferring into NYU CAS Data Science. Evaluates transfer readiness benchmarks based on College of Arts and Science general transfer standards, minimum grade thresholds (C or above for transfer credit), and core quantitative prerequisites.