This concentration focuses on the intersection of vision systems and AI to drive innovation in emerging technologies.
Students learn skills in computer vision, pattern recognition, big data analytics, and algorithmic problem-solving.
β’ Degree Required: Master of Science (MS)
β’ GRE/GMAT: GRE typically required
β’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
β’ Statement of Purpose: Required
β’ Letters of Recommendation: 3
β’ Resume: Required
β’ Transcripts: Official transcripts required
Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.
Thrive as Computer Vision Engineer in Cross-Industry AI with machine learning expertise
Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.