This specialized track prepares students to develop technologies for the automated analysis of text and speech and human-machine interaction through natural language.
Students gain expertise in spoken language processing, computational linguistics, and machine learning techniques specifically tailored for textual data and communication.
β’ Degree Required: Bachelor’s degree
β’ GRE/GMAT: Optional
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.
Advance as NLP Engineer in Cross-Industry AI with machine learning expertise