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
  • 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.
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The Certificate in Computational Linguistics is a one-year undergraduate program focusing on natural language processing, machine learning for language data, and computational analysis of linguistic structures.
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)
Computational Linguistics / 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)

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

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2
β€’ Resume: Required
β€’ 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.

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%
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.
Program Details
Duration
  • 2 Year
Tuition
$ 20,016
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Computational Linguistics / NLP
Official Resources