The University of Utah

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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 or current enrollment in a related undergraduate program such as linguistics or computer science is typically required, along with a minimum GPA of 3.0 and foundational knowledge in programming and linguistics.

About This Program

This undergraduate certificate bridges linguistics and computer science to study the computational analysis of human language and speech.

Career Outcomes

Gain natural language processing skills to advance as NLP Engineer in Cross-Industry AI

• 1. Computational Linguist
• 2. NLP Data Scientist
• 3. Language Technology Specialist
• 4. AI Research Assistant

What You'll Learn

• Develop algorithms for natural language understanding and generation.
• Apply machine learning techniques to linguistic data analysis.
• Build and analyze corpora for language modeling.
• Implement syntactic and semantic parsing systems.

Curriculum Highlights

The structure involves coursework in linguistic theory, programming for linguistics, and the application of computational methods to language data.

Top Employers

Top employers include tech companies like Google, Amazon, Meta, and Microsoft, as well as research institutions and AI startups.

Admissions

A bachelor's degree or current enrollment in a related undergraduate program such as linguistics or computer science is typically required, along with a minimum GPA of 3.0 and foundational knowledge in programming and linguistics.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree or enrollment in undergraduate/graduate program
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)