Typical admitted student: 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.

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.

Career Outcomes

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

1. NLP Engineer
2. Computational Linguist
3. Machine Learning Researcher
4. AI Language Specialist

What You'll Learn

Develop computational models for natural language understanding and generation.
Analyze linguistic data using statistical and machine learning techniques.
Build and evaluate systems for tasks like parsing, translation, and semantic analysis.
Apply corpus methods to study language structure and variation.

Curriculum Highlights

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.

Top Employers

Top employers include tech companies like Google, Amazon, Meta, and Microsoft, as well as research institutions and AI startups.

Admissions

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.

Application Materials

Statement of Purpose: Required
Letters of Recommendation: 2–3
Resume: Required
Transcripts: Official transcripts required

Academic Requirements

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

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