TX

Master's in AI
On-Campus

The University of Texas at Austin | MA in Computational Linguistics

  • Austin
About This Program

An interdisciplinary graduate concentration that educates students in the theory, technologies, and applications of natural language processing and computational linguistics.

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What You'll Learn

Students master algorithms and computational implementations of linguistic models, developing systems that can effectively process natural language data in real-world contexts.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
First-year requirements in syntax and semantics are followed by advanced seminars in computational semantics, large language models, and applied text analysis.
Typical Course Topics
1. Natural Language Processing 2. Computational Syntax and Parsing 3. Semantics and Lexical Semantics 4. Machine Learning for NLP 5. Computational Discourse Analysis 6. Language Modeling and Generation
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 in Python and foundational knowledge in algorithms or statistics.
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 natural language processing 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 Research Scientist 2. Computational Linguist 3. Machine Learning Engineer (Language) 4. AI Language Model Developer
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Meta, Amazon, and Microsoft, as well as research institutions and AI startups.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 19,770
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Official Resources
Program Website
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