Stony Brook University

Stony Brook University

About This Program

A three-semester interdisciplinary program bridging the gap between linguistics and programming for students entering the language technology and AI sectors.

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What You'll Learn

Students acquire competencies in algorithms and data structures while mastering linguistic theories of grammar and the computational analysis of natural language.

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 Stony Brook University, visit their official program website.

Typical Course Topics

                   The curriculum integrates theoretical linguistics with practical software toolkits, covering syntax, phonology, automata theory, complexity, and a mandatory internship.

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 machine learning expertise

Program Details

Duration

2 Years

Tuition

14130

View funding options →

Format

On-Campus

Specializations

Natural Language Processing (NLP)

Official Resources

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