NY

Master's in AI
On-Campus

Stony Brook University | MA in Computational Linguistics

  • Stony Brook
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:
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Typical Curriculum Structure
The curriculum integrates theoretical linguistics with practical software toolkits, covering syntax, phonology, automata theory, complexity, and a mandatory internship.
Typical Course Topics
1. Introduction to Computational Linguistics 2. Natural Language Processing 3. Corpus Linguistics and Language Technology 4. Finite-State Methods in Language Processing 5. Machine Learning for Linguistic Data 6. Computational Syntax and Semantics
Program Specializations:
Natural Language Processing (NLP)
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in linguistics, computer science, or a related field with a minimum GPA of 3.0 is required, along with programming experience and foundational coursework in linguistics or computational methods.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Position as NLP Engineer in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
NLP Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Computational Linguist 2. Natural Language Processing Engineer 3. Language Technology Researcher 4. AI Language Model Developer
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, Microsoft, and research institutions such as IBM Research and university labs.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 14,130
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Official Resources
Program Website
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