CA

Master's in AI
On-Campus

University of California, Los Angeles | Master of Engineering in Artificial Intelligence

  • Los Angeles
About This Program

This professional program prepares engineering leaders to build algorithms that reason, learn, and act intelligently to solve complex industry predictions and challenges.

⭐ Student Reviews

No reviews yet. Be the first to share your experience!

What You'll Learn
  • Design and implement machine learning models for real-world applications
  • Develop deep learning architectures for tasks like image recognition and NLP
  • Apply generative AI techniques including large language models
  • Evaluate AI systems for ethics, bias, and societal impact
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Master of Engineering in Artificial Intelligence is a one-year graduate program focusing on AI core technologies, machine learning models, data science applications, and a team-based capstone project.
Typical Course Topics
1. Foundations of Machine Learning 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Computer Vision and Image Analysis 5. Generative AI and Large Language Models 6. AI Ethics and Responsible AI
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 engineering, computer science, or a related STEM field with a minimum GPA of 3.0 is required, along with programming experience in Python or equivalent and quantitative coursework in linear algebra and probability.
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.

Check Application Deadlines
Career Opportunities in AI

Advance as Machine Learning Engineer in Engineering AI with machine learning expertise

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
0.23
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI/ML Engineer 2. Data Scientist 3. Computer Vision Engineer 4. NLP Specialist
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, Meta, and AI research labs at companies like OpenAI and NVIDIA.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
$ 52,920
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Computer Vision
Official Resources
Program Website
Request Information