IL

Certificates in AI
On-Campus

University of Illinois Urbana-Champaign

Graduate Certificate in Computational Linguistics

  • Champaign
About This Program

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

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What You'll Learn

Students gain the skills to process and analyze human language using automated methodologies, focusing on speech and natural language processing.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 16-credit requirement includes core courses in computational linguistics and fundamentals for speech signal processing and analysis.
Typical Course Topics
1. Natural Language Processing 2. Corpus Linguistics 3. Computational Semantics 4. Syntax and Parsing 5. Machine Translation 6. Language Modeling and Statistics
Program Specializations:
Natural Language Processing (NLP)
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 and coursework in linguistics or computational methods.
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
NLP Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
25.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Computational Linguist 2. NLP Specialist 3. Language Data Scientist 4. Machine Learning Engineer (Language Focus)
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, Microsoft, and research institutions focused on AI and language technology.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 9,664
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Official Resources
Program Website
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