NY

Master's in AI
On-Campus

University at Buffalo

MS in Computational Linguistics

  • Buffalo
About This Program

This interdisciplinary program combines computer science, linguistics, and cognitive science to prepare students for the human language technologies industry.

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What You'll Learn

Students learn to develop technologies like speech recognition, machine translation, and automated text analysis systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure features a joint curriculum from the departments of Linguistics and Computer Science, focusing on NLP and statistics.
Typical Course Topics
1. Computational Linguistics 2. Natural Language Processing and Text Mining 3. Information Retrieval 4. Machine Learning for Language Applications 5. Syntax and Semantics in NLP 6. Language Data Mining and Parsing
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, linguistics, or a related field with strong programming skills is required, along with a minimum GPA of 3.0 and relevant coursework in algorithms, probability, and linear algebra.
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

Lead as NLP Engineer in Cross-Industry AI with AI technology 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. NLP Engineer 2. Computational Linguist 3. Machine Learning Engineer (Language Focus) 4. AI Research Scientist (Language)
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, Meta, and Microsoft, as well as research institutions and AI startups focused on language technologies.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 14,138
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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