DC

Master's in AI
On-Campus

Georgetown University | MS in Computational Linguistics

  • Washington


About This Program

This selective graduate program offers a scientific study of language from a computational perspective, integrating linguistic theory and machine learning.

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What You'll Learn
  • Develop linguistic knowledge informed by neural network architectures and deep learning approaches
  • Analyze syntactic structures and semantic properties using computational models and language prediction systems
  • Apply machine learning techniques to low-resource languages and multilingual NLP problems
  • Evaluate and interpret language models using cognitive science and linguistic theory
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Computational Linguistics at Georgetown University is a master's degree focused on applying machine learning and linguistic theory to natural language processing, language modeling, and computational analysis of human language.
Typical Course Topics
1. Natural Language Processing (NLP) 2. Machine Learning for Linguistics 3. Syntactic and Semantic Analysis 4. Language Models and Deep Learning 5. Computational Morphology and Syntax 6. Speech Processing and Phonetics
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 typically need a bachelor's degree with a strong background in linguistics, computer science, or related field. Graduate programs in computational linguistics often require or prefer relevant coursework in both linguistics and programming, along with competitive GRE scores and a statement of purpose demonstrating research interests in language and computation.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE: Required
• TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.5+)[4]

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required
• GRE test scores: Required
• TOEFL/IELTS test scores: Required for international applicants

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

Excel as NLP Engineer in Cross-Industry AI with natural language processing (nlp) expertise

Estimated Industry Salary
Natural Language Processing Engineer: $120,000 Computational Linguist (Research): $115,000 Machine Learning Engineer (NLP): $125,000 Speech & Language Technologist: $105,000
Total compensation (entry to mid-level)
AI Job Growth
35%
Projected 2024-2034 (BLS)
Common Career Paths:
1. NLP Engineer 2. Machine Learning Research Scientist 3. Computational Linguist 4. Speech Recognition Specialist
Top AI Employers (Industry-Wide):
Top employers in computational linguistics and NLP include Google, Amazon, Microsoft, Apple, Meta, OpenAI, and major tech companies developing language models and voice technologies, as well as research institutions and government agencies focused on language technology.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
$ 95,472
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Computational Linguistics / NLP
Official Resources
Program Website
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