This program specialization focuses on the technical engineering aspects of deploying machine learning models, training students to bridge the gap between AI theory and production-grade software applications.
Students develop expertise in designing data pipelines, building scalable ML systems, and managing the full lifecycle of AI products, including MLOps and secure software development practices.
• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)
• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• 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 Machine Learning Engineer in Business 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.