This graduate program provides the tools needed to reinvent healthcare through AI, helping professionals bridge the gap between medicine and advanced data technologies.
Participants gain proficiency in machine learning methods, risk prediction, and medical image analysis while exploring bioethics and regulation in the clinical environment.
β’ Degree Required: Bachelor’s degree
β’ GRE/GMAT: Not Required
β’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
β’ Statement of Purpose: Required
β’ Letters of Recommendation: 2β3
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.
Build machine learning skills to advance as Data Engineer in Healthcare AI
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.