LA

Master's in AI
On-Campus

Tulane University

MA in Computational Linguistics

  • New Orleans
About This Program

This interdisciplinary program combines linguistics and computer science to focus on the scientific study of language from a computational perspective.

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What You'll Learn

Students learn skills for automated text analysis, speech recognition, machine translation, and information retrieval in the “Big Data” era.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The core curriculum includes syntactic theory, linguistic phonetics, introduction to artificial intelligence, and natural language processing.
Typical Course Topics
1. Natural Language Processing 2. Computational Syntax and Parsing 3. Machine Learning for NLP 4. Semantics and Pragmatics in Computation 5. Corpus Linguistics and Language Data Analysis 6. Speech Recognition and Synthesis
Program Specializations:
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 computational methods.
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

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 Language Researcher 4. Speech Technology 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 focused on language technologies.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 39,090
Format
On-Campus
Specializations
Official Resources
Program Website
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