DC

PhD in AI
On-Campus

Georgetown University | PhD in Linguistics – Computational Linguistics

  • Washington


About This Program

This doctoral program focuses on advanced research in language modeling and the application of computational methods to linguistic theory.

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What You'll Learn
  • Design and train neural language models, including transformers and large language models, with understanding of underlying statistical principles and machine learning theory
  • Conduct original research in linguistically-informed NLP, addressing challenges in representation learning, morphology, syntax, and semantics across multiple languages
  • Develop computational solutions for low-resource language scenarios and apply deep learning techniques to real-world NLP problems
  • Communicate research findings through academic publications, presentations, and contribute to interdisciplinary collaborations spanning linguistics, computer science, and cognitive science
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The PhD in Computational Linguistics at Georgetown University is a research-intensive doctoral program focused on linguistically-informed machine learning, natural language processing, and deep learning approaches to language understanding, typically requiring 5–6 years of study.
Typical Course Topics
1. Neural Natural Language Processing 2. Machine Learning for Language 3. Representation Learning and Embeddings 4. Multilinguality and Low-Resource Language Processing 5. Deep Learning and Neural Networks 6. Computational Semantics and Syntax
Program Specializations:
Natural Language Processing (NLP)
Computational Linguistics / NLP
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants should hold a bachelor's degree with strong preparation in linguistics, computer science, or related fields. A master's degree is preferred but not required; applicants typically demonstrate research experience, strong programming skills (Python, MATLAB), and familiarity with machine learning concepts.
Academic Requirements (Typical)

• Degree Required: PhD
• GRE: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required
• Writing Sample or Research Portfolio: Recommended

Application Timeline

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

Check Application Deadlines
Career Opportunities in AI

Command advanced NLP Engineer in Cross-Industry AI through natural language processing (nlp)

Estimated Industry Salary
Computational Linguistics/NLP Researcher: $115,000 Industry Machine Learning Engineer: $130,000 Academic Research Position: $85,000
Total compensation (entry to mid-level)
AI Job Growth
35%
Projected 2024-2034 (BLS)
Common Career Paths:
1. NLP Research Scientist 2. Machine Learning Engineer (Language/AI) 3. Academic Researcher/Professor 4. Industry AI/ML Product Researcher
Top AI Employers (Industry-Wide):
Top employers for computational linguistics PhDs include Google, Meta, OpenAI, Microsoft Research, Amazon, academic institutions, and government research agencies like NIST and NSF.
Explore AI Career Paths
Program Details
Duration
  • 5 Year
Tuition
$ 127,296
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Computational Linguistics / NLP
Official Resources
Program Website
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