WA

Master's in AI
On-Campus, Online, Hybrid

University of Washington

MS in Computational Linguistics

  • Seattle
About This Program

This master’s program provides training in language technology and linguistics to prepare students for tech industry careers or doctoral research.

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What You'll Learn

Students master state-of-the-art methodologies for language processing, system evaluation, and the development of end-to-end natural language processing solutions.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The nine-course program includes core computational linguistics, linguistics electives, and a culminating master’s project or professional internship.
Typical Course Topics
1. Natural Language Processing 2. Computational Syntax 3. Machine Learning for Language 4. Computational Semantics 5. Corpus Linguistics and Statistical Methods 6. Computational Phonology and Phonetics
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 strong programming skills and coursework in linguistics or mathematics is required, along with a minimum GPA of 3.0.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• 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
Computational Linguist: $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. Language Technology Researcher 4. AI Language Model Developer
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, Microsoft, and Meta, as well as research institutions and AI startups.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 44,161
Format
On-Campus, Online, Hybrid
Specializations
Natural Language Processing (NLP)
Official Resources
Program Website
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