Johns Hopkins University

Johns Hopkins University

About This Program

This interdisciplinary concentration focuses on the mathematical and computational principles behind speech recognition, machine translation, and natural language processing.

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What You'll Learn

Students learn to implement language technology methods at scale using cloud computing and GPUs, and extract information from speech and text.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:

Visit Official Program Website

Typical Curriculum Structure

Note: This is a typical curriculum structure for Master's in AI programs. For the exact courses offered by Johns Hopkins University, visit their official program website.

Typical Course Topics

                   The curriculum requires courses in natural language processing and information extraction, complemented by a practicum-style project supervised by research experts.

Full-Time

Program Specializations:

Natural Language Processing (NLP)

View the exact, up-to-date curriculum on the official program website

Admissions

Careers

Position as NLP Engineer in Cross-Industry AI with natural language processing expertise

Program Details

Duration

1.5 Years

Tuition

66700

View funding options →

Format

On-Campus

Specializations

Natural Language Processing (NLP)

Official Resources

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