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 coursework in linguistics or computational methods.

About This Program

This multidisciplinary certificate combines computer science and linguistics to address machine-human communicative interactions and modern speech technologies.

Career Outcomes

Strengthen natural language processing skills to advance as NLP Engineer in Cross-Industry AI

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

What You'll Learn

Develop computational models for analyzing linguistic structures and patterns.
Apply natural language processing techniques to text data and language tasks.
Build and query corpora for linguistic research and analysis.
Implement algorithms for syntax parsing, semantics, and machine translation.

Curriculum Highlights

The 16-credit requirement includes core courses in computational linguistics and fundamentals for speech signal processing and analysis.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and research institutions focused on AI and language technology.

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 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: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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