UT

Certificates in AI
On-Campus

The University of Utah

Certificate in Computational Linguistics

  • Salt Lake City
About This Program

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

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What You'll Learn

Students learn the principles of natural language processing, speech synthesis, and the technical frameworks used in modern language technologies.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure involves coursework in linguistic theory, programming for linguistics, and the application of computational methods to language data.
Typical Course Topics
1. Introduction to Computational Linguistics 2. Natural Language Processing 3. Machine Learning for Language 4. Syntax and Parsing Algorithms 5. Corpus Linguistics and Text Mining 6. Speech Recognition and Synthesis
Program Specializations:
Natural Language Processing (NLP)
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• 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+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2
• 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.

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Career Opportunities in AI

Gain natural language processing 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
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Computational Linguist 2. NLP Data Scientist 3. Language Technology Specialist 4. AI Research Assistant
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, Meta, and Microsoft, as well as research institutions and AI startups.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 20,016
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Official Resources
Program Website
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