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

About This Program

This interdisciplinary program combines computer science, linguistics, and cognitive science to prepare students for the human language technologies industry.

Career Outcomes

Lead as NLP Engineer in Cross-Industry AI with AI technology expertise

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

What You'll Learn

Develop algorithms for natural language understanding and generation.
Apply machine learning techniques to linguistic data analysis.
Build models for text mining, parsing, and semantic representation.
Design systems for information retrieval and language processing applications.

Curriculum Highlights

The structure features a joint curriculum from the departments of Linguistics and Computer Science, focusing on NLP and statistics.

Top Employers

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

Admissions

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

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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