Typical admitted student: A bachelor's degree in linguistics, computer science, or a related field with a minimum GPA of 3.0 is required, along with programming experience and foundational coursework in linguistics or computational methods.

About This Program

A three-semester interdisciplinary program bridging the gap between linguistics and programming for students entering the language technology and AI sectors.

Career Outcomes

Position as NLP Engineer in Cross-Industry AI with machine learning expertise

1. Computational Linguist
2. Natural Language Processing Engineer
3. Language Technology Researcher
4. AI Language Model Developer

What You'll Learn

Develop algorithms for parsing and generating natural language structures.
Apply machine learning techniques to linguistic data analysis.
Analyze language phenomena using finite-state models and corpus methods.
Evaluate computational models from linguistic and engineering perspectives.

Curriculum Highlights

The curriculum integrates theoretical linguistics with practical software toolkits, covering syntax, phonology, automata theory, complexity, and a mandatory internship.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and research institutions such as IBM Research and university labs.

Admissions

A bachelor's degree in linguistics, computer science, or a related field with a minimum GPA of 3.0 is required, along with programming experience and foundational coursework in linguistics or computational methods.

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+)

Student Reviews

Loading reviews...

Ready to Apply?

Visit the official program page for the latest deadlines, tuition, and application requirements.

Visit Official Program Page ↗Compare Programs