CO

Master's in AI
On-Campus

University of Colorado Boulder

MS in Computational Linguistics (CLASIC)

  • Boulder
About This Program

This interdisciplinary degree provides a foundation in computer science and linguistics for natural language processing careers. It prepares students for roles in machine translation and virtual agents.

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What You'll Learn

Students learn skills in computer programming, quantitative analysis, and the development of large language models. They identify linguistic concepts to build fairer, more effective text analytics applications.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 32-hour curriculum includes core linguistics and computer science courses plus a research-based capstone. Typical themes include semantics, machine learning, and models of discourse and dialogue.
Typical Course Topics
1. Natural Language Processing 2. Corpus Linguistics 3. Computational Semantics 4. Machine Translation 5. Syntax and Parsing 6. Language Modeling and Statistical Methods
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 in linguistics, computer science, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linguistics or machine learning.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• 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

Advance as NLP Engineer in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
Computational Linguist: $120,000
Total compensation (entry to mid-level)
AI Job Growth
21.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. NLP Engineer 2. Computational Linguist 3. Machine Learning Researcher 4. AI Language Specialist
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
  • 27,930
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Official Resources
Program Website
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