San Diego State University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: 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.

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.

Career Outcomes

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

• 1. NLP Engineer
• 2. Computational Linguist
• 3. Text Analytics Specialist
• 4. Machine Learning Engineer (Language Focus)

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

Curriculum Highlights

The curriculum focuses on core areas such as syntax, applied computational linguistics, and text analytics, with courses tailored to bridge the gap between computer science and linguistics.

Top Employers

Top employers include tech companies like Google, Meta, Amazon, and research institutions in AI and language technology.

Admissions

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.

Application Materials

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

Academic Requirements

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