TX

PhD in AI
On-Campus

The University of Texas at Austin

PhD in Linguistics – Computational Linguistics

  • Austin
About This Program

A doctoral research program focused on the scientific study of human language through computational techniques, probing biological, cognitive, and cultural dimensions of speech and signs.

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What You'll Learn

Researchers develop a thorough foundation in phonetics, phonology, syntax, and semantics, while conducting advanced research in computational and experimental linguistics.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program of work includes core foundational courses in linguistics and specialized research group participation in areas like psycholinguistics and neurolinguistics.
Typical Course Topics
1. Applied Natural Language Processing 2. Formal Semantics and Computational Models 3. Syntax and Parsing Algorithms 4. Machine Learning for Language Technology 5. Corpus Linguistics and Statistical Methods 6. Phonology and Morphology in Computational Frameworks
Program Specializations:
Natural Language Processing (NLP)
Generative AI and LLMs
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically hold a Bachelor's degree in Linguistics, Computer Science, Mathematics, or a related field with demonstrated coursework in both linguistics and programming. A strong academic background (3.5+ GPA), relevant research experience, and proficiency in computational methods are strongly preferred.
Academic Requirements (Typical)

• Degree Required: PhD (typically 60+ credit hours beyond Bachelor’s)
• GRE: Required (strong scores in Quantitative and Verbal reasoning expected)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required (articulating research interests in computational linguistics)
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required
• Writing Sample or Research Portfolio: Recommended (demonstrating computational or linguistic work)

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

Pursue advanced AI Research Scientist in Cross-Industry AI through natural language processing

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Computational Linguistics/NLP Engineer: $125,000 AI/Machine Learning Research Scientist: $135,000 Language Technology Developer: $110,000 Academic Researcher/Professor: $95,000
Total compensation (entry to mid-level)
AI Job Growth
15.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. NLP Research Scientist 2. Machine Learning Engineer (Language Technology) 3. Academic Researcher or University Faculty 4. Language Technology Product Developer
Top AI Employers (Industry-Wide):
Top employers include Google, Meta, OpenAI, Microsoft, Amazon, IBM, and major research institutions conducting work in artificial intelligence and natural language processing.
Explore AI Career Paths
Program Details
Duration
  • 6 Year
Tuition
  • 19,770
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Generative AI and LLMs
Official Resources
Program Website
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