Typical admitted student: A bachelor's degree in linguistics, computer science, or a related field with strong quantitative background is required, along with a minimum GPA of 3.0 and programming experience in Python or similar.

About This Program

This program trains students in language analysis and computational techniques, preparing them for roles in speech recognition and translation technology.

Career Outcomes

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

1. NLP Engineer
2. Computational Linguist
3. Machine Learning Researcher
4. AI Language Model Developer

What You'll Learn

Develop algorithms for parsing and generating human language structures.
Apply machine learning techniques to linguistic data analysis and modeling.
Analyze syntax, semantics, and phonology using computational tools.
Build NLP systems for low-resource languages and real-world applications.

Curriculum Highlights

The curriculum balances linguistics and computer science, featuring tracks in sound, syntax, or semantics alongside courses in natural language processing and AI.

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 linguistics, computer science, or a related field with strong quantitative background is required, along with a minimum GPA of 3.0 and programming experience in Python or similar.

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+)

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