Typical admitted student: A bachelor's degree in linguistics, computer science, or a related field with strong programming skills is required, along with a minimum GPA of 3.0 and relevant coursework in algorithms or linguistics.

About This Program

This intensive two-year program bridges linguistics and computer science, focusing on the scientific study and computational processing of human language for modern technology applications.

Career Outcomes

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

1. NLP Engineer
2. Computational Linguist
3. AI Research Scientist
4. Machine Learning Engineer (Language Focus)

What You'll Learn

Design and implement natural language processing algorithms for text analysis.
Build and evaluate machine translation systems across multiple languages.
Develop large language models for generative AI applications.
Analyze linguistic data using statistical and machine learning methods.

Curriculum Highlights

The curriculum consists of 12 course credits, including core computational linguistics seminars, background courses in linguistics or programming, and a required internship, capstone project, or thesis.

Top Employers

Top employers include Google, Meta, Amazon, Microsoft, and research institutions like ACL member organizations.

Admissions

A bachelor's degree in linguistics, computer science, or a related field with strong programming skills is required, along with a minimum GPA of 3.0 and relevant coursework in algorithms or linguistics.

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: Optional
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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