AZ

Master's in AI
Online

The University of Arizona

MS in Human Language Technology

  • Tucson
About This Program

This interdisciplinary degree blends linguistics and artificial intelligence to prepare students for careers in language technology industries.

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What You'll Learn

Students will master speech recognition, machine translation, information extraction, and the development of large language models.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum focuses on statistical and symbolic computational linguistics, neural network models, and a required professional internship.
Typical Course Topics
1. Natural Language Processing 2. Computational Linguistics 3. Speech Recognition and Synthesis 4. Machine Learning for Language Data 5. Human-Computer Interaction with Language 6. Language Modeling and Generation
Program Specializations:
Natural Language Processing (NLP)
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, linguistics, engineering, or a related field is required, along with a minimum GPA of 3.0 and relevant coursework in programming, statistics, or linguistics. GRE scores are often optional, with emphasis on technical background and research potential.
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

Lead as NLP Engineer in Cross-Industry AI with neural network expertise

Estimated Industry Salary
NLP Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. NLP Engineer 2. Computational Linguist 3. Speech Technology Specialist 4. AI Language Researcher
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, Microsoft, and Meta, as well as research labs and government agencies focused on AI and language technologies.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 15,180
Format
Online
Specializations
Natural Language Processing (NLP)
Deep Learning
Official Resources
Program Website
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