CA

Master's in AI
Online

Stanford University

Online MS in Computer Science – Artificial Intelligence

  • Stanford
About This Program

This online master’s degree provides the same rigorous academic training as the on-campus program, focused on developing cutting-edge AI technologies.

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What You'll Learn

Students develop high-level skills in software engineering, algorithm design, and the implementation of large-scale machine learning systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The coursework includes depth requirements in artificial intelligence, supplemented by breadth courses in systems and theoretical computer science.
Typical Course Topics
1. Machine Learning 2. Deep Learning 3. Computer Vision 4. Natural Language Processing 5. Artificial Intelligence Principles 6. AI Ethics and Reasoning
Program Specializations:
Machine Learning
Deep Learning
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 a strong GPA (typically 3.0+), programming experience, and relevant coursework in algorithms, data structures, and mathematics are required. GRE is optional for most applicants.
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 Cross-Industry AI with machine learning expertise

Estimated Industry Salary
AI Engineer: $150,000
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 NVIDIA.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 67,005
Format
Online
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
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