NC

Certificates in AI
On-Campus

University of North Carolina at Chapel Hill

Graduate Certificate in Computational Linguistics

  • Chapel Hill
About This Program

This interdisciplinary certificate addresses the growing need for language processing skills in the artificial intelligence and cognitive technologies sectors.

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What You'll Learn

Students develop skills in natural language processing and computational analysis to solve human-computer interaction challenges.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program includes introduction to linguistics for NLP, foundations of computational linguistics, and advanced models of language.
Typical Course Topics
1. Introduction to Natural Language Processing 2. Computational Syntax and Parsing 3. Machine Learning for Language 4. Corpus Linguistics and Text Analytics 5. Speech Recognition and Synthesis 6. Semantic Role Labeling and Inference
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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 in Python or similar languages and relevant coursework in linguistics or AI.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

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

Estimated Industry Salary
Natural Language Processing Engineer: $110,000
Total compensation (entry to mid-level)
AI Job Growth
28.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. NLP Engineer 2. Computational Linguist 3. AI Research Assistant 4. Data Scientist (Language Focus)
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, Microsoft, and research institutions in AI and language technology.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 9,060
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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