University of Washington

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: 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.

About This Program

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

Career Outcomes

Lead as NLP Engineer in Cross-Industry AI with natural language processing expertise

• 1. NLP Engineer
• 2. Computational Linguist
• 3. Language Technology Researcher
• 4. AI Language Model Developer

What You'll Learn

• Develop algorithms for parsing and generating human language
• Apply machine learning techniques to linguistic data analysis
• Build computational models of syntax, semantics, and phonology
• Analyze large-scale language corpora for patterns and insights

Curriculum Highlights

The nine-course program includes core computational linguistics, linguistics electives, and a culminating master’s project or professional internship.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and Meta, as well as research institutions and AI startups.

Admissions

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.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)