NY

Master's in AI
On-Campus

University of Rochester

MS in Computational Linguistics

  • Rochester
About This Program

This program trains students in language analysis and computational techniques, preparing them for roles in speech recognition and translation technology.

Student Reviews
Write a Review
What You'll Learn

Students will learn to apply computer science methods to natural language, develop language models, and perform advanced deep learning for linguistic data.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum balances linguistics and computer science, featuring tracks in sound, syntax, or semantics alongside courses in natural language processing and AI.
Typical Course Topics
1. Natural Language Processing 2. Machine Learning for Linguistics 3. Computational Syntax and Semantics 4. Corpus Linguistics and Data Analysis 5. Lexical Semantics and Word Meaning 6. Statistical Methods for Low-Resource Languages
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 strong quantitative background is required, along with a minimum GPA of 3.0 and programming experience in Python or similar.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• 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: 2–3
• 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.

Check Application Deadlines
Career Opportunities in AI

Lead as NLP Engineer in Cross-Industry AI with natural language processing expertise

Estimated Industry Salary
Natural Language Processing Engineer: $120,000
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. Machine Learning Researcher 4. AI Language Model Developer
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, Meta, and Microsoft, as well as research institutions and AI startups focused on language technologies.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 68,800
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Official Resources
Program Website
Request Information