San Francisco State University

San Francisco State University

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

Students learn to write Python programs for text tokenization, discover statistical patterns, perform part-of-speech tagging, and build dependency grammars for data mining.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:

Visit Official Program Website

Typical Curriculum Structure

Note: This is a typical curriculum structure for Master's in AI programs. For the exact courses offered by San Francisco State University, visit their official program website.

Typical Course Topics

                   The 15-unit curriculum includes introduction to language study, syntax, and applied computational linguistics, with electives in natural language technologies or phonology.

Part-Time

Program Specializations:

Natural Language Processing (NLP), Computer Vision

View the exact, up-to-date curriculum on the official program website

Admissions

Careers

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

Program Details

Duration

1 Years

Format

On-Campus

Specializations

Natural Language Processing (NLP), Computer Vision

Official Resources

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