CA

Master's in AI
On-Campus

University of California, Santa Cruz | MS in Natural Language Processing

  • Santa Cruz


About This Program

This professional program provides depth and breadth in core algorithms and methods used for NLP, preparing graduates for careers in industry or research.

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What You'll Learn
  • Design and implement NLP models for text analysis and generation
  • Apply deep learning architectures like transformers to language tasks
  • Process and extract insights from unstructured text data
  • Evaluate and optimize NLP systems for real-world applications
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Natural Language Processing is a two-year graduate program providing in-depth skills in NLP techniques, machine learning models, and AI applications for language data processing.
Typical Course Topics
1. Natural Language Processing Fundamentals 2. Deep Learning for NLP 3. Machine Learning and Statistical Methods 4. Sequence Models and Transformers 5. Information Extraction and Parsing 6. Multilingual NLP and Applications
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 computer science, linguistics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in machine learning or statistics.
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: 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

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

Estimated Industry Salary
NLP Engineer: $140,000
Total compensation (entry to mid-level)
AI Job Growth
23%
Projected 2024-2034 (BLS)
Common Career Paths:
1. NLP Engineer 2. Machine Learning Engineer 3. AI Research Scientist 4. Computational Linguist
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Meta, Amazon, and OpenAI, as well as research labs and AI startups.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
$ 46,720
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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