CA

Certificates in AI
On-Campus

San Diego State University | Certificate in Computational Linguistics

  • San Diego


About This Program

This four-course program provides foundational training in computational approaches to language analysis, designed for students and professionals looking to enter the intersection of linguistics and technology.

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What You'll Learn
  • Apply statistical models to natural language processing tasks
  • Design algorithms for syntactic parsing and semantic analysis
  • Implement machine learning techniques for text classification and generation
  • Analyze language data using computational psycholinguistics methods
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Certificate in Computational Linguistics is a post-baccalaureate program focusing on natural language processing, statistical methods for language data, and machine learning applications in linguistics.
Typical Course Topics
1. Introduction to Natural Language Processing 2. Statistical Natural Language Processing 3. Computational Syntax and Parsing 4. Semantics and Pragmatics in NLP 5. Machine Learning for Language Data 6. Text Analytics and Language Modeling
Program Specializations:
Natural Language Processing (NLP)
Deep 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; relevant coursework in programming and linguistics is preferred.
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.

Check Application Deadlines
Career Opportunities in AI

Gain machine learning 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
23%
Projected 2024-2034 (BLS)
Common Career Paths:
1. NLP Engineer 2. Computational Linguist 3. Text Analytics Specialist 4. Machine Learning Engineer (Language Focus)
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Meta, Amazon, and research institutions in AI and language technology.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
$ 5,508
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Deep Learning
Official Resources
Program Website
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