MA

Master's in AI
On-Campus

Brandeis University

MS in Computational Linguistics

  • Waltham
About This Program

This intensive two-year program bridges linguistics and computer science, focusing on the scientific study and computational processing of human language for modern technology applications.

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What You'll Learn

Students will master natural language processing, speech recognition, machine translation, and automated text analysis while gaining advanced programming skills in Java and Python.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
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Typical Curriculum Structure
The curriculum consists of 12 course credits, including core computational linguistics seminars, background courses in linguistics or programming, and a required internship, capstone project, or thesis.
Typical Course Topics
1. Natural Language Processing 2. Machine Translation 3. Large Language Models 4. Computational Syntax and Semantics 5. Language Annotation and Corpus Linguistics 6. Speech Recognition and Synthesis
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
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 programming skills is required, along with a minimum GPA of 3.0 and relevant coursework in algorithms or linguistics.
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 natural language processing expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

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. NLP Engineer 2. Computational Linguist 3. AI Research Scientist 4. Machine Learning Engineer (Language Focus)
Top AI Employers (Industry-Wide):
Top employers include Google, Meta, Amazon, Microsoft, and research institutions like ACL member organizations.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 67,068
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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