CA

Certificates in AI, Master's in AI, Master's in Cybersecurity, Master's in DS/DA, PhD in AI
On-Campus

University of California, Berkeley

University of California, Berkeley

  • Berkeley
About This Program

This research-intensive master’s program emphasizes foundational training in artificial intelligence, preparing students for advanced doctoral studies or high-level research roles in the computing industry.

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What You'll Learn

Students will master core AI concepts including deep learning, knowledge representation, and reasoning, while gaining hands-on experience applying algorithmic advances to bioinformatics and robotics.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum focuses on research preparation through coursework in machine learning, computer vision, and natural language processing, complemented by original research projects and faculty mentoring.
Typical Course Topics
1. Machine Learning 2. Deep Learning 3. Natural Language Processing 4. Computer Vision 5. Robotics 6. AI Ethics and Reinforcement Learning
Program Specializations:
Natural Language Processing (NLP)
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science or related field with strong GPA (typically 3.0+), programming experience (especially Python), and coursework in algorithms, data structures, and linear algebra is required. GRE is optional, with relevant research or professional experience strengthening applications.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)

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.

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Career Opportunities in AI

Excel as Machine Learning Engineer in Cross-Industry AI with machine learning 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
AI Engineer: $135,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Research Scientist 2. Machine Learning Engineer 3. Computer Vision Specialist 4. NLP Engineer
Top AI Employers (Industry-Wide):
Top employers include Google, Meta, OpenAI, and companies in Silicon Valley like NVIDIA and startups focused on AI innovation.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 27,204
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Computer Vision
Official Resources
Program Website
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