Typical admitted student: A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with strong programming skills in Python and familiarity with machine learning frameworks.

About This Program

This specialized track prepares students to develop technologies for the automated analysis of text and speech and human-machine interaction through natural language.

Career Outcomes

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

1. NLP Research Scientist
2. Machine Learning Engineer (NLP)
3. AI Product Developer
4. Data Scientist (Language AI)

What You'll Learn

Design and implement NLP models for tasks like sentiment analysis and machine translation.
Apply deep learning techniques including transformers and recurrent neural networks to language data.
Evaluate and optimize probabilistic models for text generation and understanding.
Build AI systems integrating NLP with computer vision or speech recognition.

Curriculum Highlights

The program includes core courses in natural language processing and speech, alongside electives in machine learning, deep learning, and user interface design.

Top Employers

Top employers include Google, Meta, Amazon, Microsoft, and AI research labs.

Admissions

A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with strong programming skills in Python and familiarity with machine learning frameworks.

Application Materials

Statement of Purpose: Required
Letters of Recommendation: 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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