CA

Certificates in AI
On-Campus

San Francisco State University | Certificate in Computational Linguistics

  • San Francisco


About This Program

This undergraduate certificate offers academic training in computational language analysis, introducing students to technical methods and theoretical underpinnings without requiring prior programming or linguistics knowledge.

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What You'll Learn
  • Design and implement algorithms for automated language processing and analysis
  • Analyze linguistic structures using computational methods and programming frameworks
  • Apply machine learning techniques to text classification, sentiment analysis, and language understanding
  • Develop practical NLP applications and evaluate their effectiveness on real-world linguistic data
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The Certificate in Computational Linguistics is a specialized undergraduate or graduate-level program focused on the intersection of linguistics, computer science, and natural language processing, typically completed in one to two semesters.
Typical Course Topics
1. Natural Language Processing (NLP) 2. Computational Syntax and Parsing 3. Machine Learning for Language Analysis 4. Corpus Linguistics and Text Mining 5. Phonology and Phonetics in Computational Systems 6. Semantic Analysis and Knowledge Representation
Program Specializations:
Natural Language Processing (NLP)
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically need a bachelor's degree with coursework in linguistics or computer science. For certificate-level programs, a demonstrated background in either field is preferred, though some programs accept students with strong quantitative or language skills.
Academic Requirements (Typical)

β€’ Degree Required: Bachelor’s degree or higher
β€’ GRE/GMAT: Optional (not typically required for certificates)
β€’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2
β€’ Resume: Required
β€’ 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.

Career Opportunities in AI

Gain Python skills to advance as NLP Engineer in Cross-Industry AI

Estimated Industry Salary
Natural Language Processing Specialist: $95,000 Computational Linguist: $88,000 AI/Machine Learning Engineer: $120,000 Software Engineer (NLP): $105,000
Total compensation (entry to mid-level)
AI Job Growth
22%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Natural Language Processing Engineer 2. Computational Linguist 3. Machine Learning Specialist 4. Speech Recognition Specialist
Top AI Employers (Industry-Wide):
Top employers in computational linguistics include major technology companies like Google, Microsoft, Amazon, and Apple, as well as AI research organizations and speech-to-text platforms.
Program Details
Duration
  • 1 Year
Tuition
$ 8,064
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Computer Vision
Official Resources