Stanford University

How this program compares

At an estimated $232.7K in total tuition, the MS in Computer Science (MSCS) – Artificial Intelligence sits about 448% above the $42.4K average for AI master's programs in our database — placing it in the 100th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science or related field with strong GPA (typically 3.5+), programming experience, and relevant coursework in algorithms and data structures is required. GRE is optional, with preference for applicants showing research potential or industry experience in AI.

About This Program

This world-renowned graduate program offers advanced technical training in the theory and application of artificial intelligence and machine learning. Coursework concentrates on Computer Vision and AI Engineering / Applied AI. Most students complete it in about 1.5 years.

Estimated total tuition is $232.7K, above the $42.4K average for AI master's programs in our database and in the 100th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Thrive as AI Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $150,000.

Career Outcomes

Thrive as AI Engineer in Cross-Industry AI with machine learning expertise

• 1. AI Research Scientist
• 2. Machine Learning Engineer
• 3. Computer Vision Specialist
• 4. NLP Engineer

What You'll Learn

• Design and implement machine learning models for real-world applications.
• Apply deep learning techniques to computer vision and natural language processing tasks.
• Develop reinforcement learning algorithms for decision-making systems.
• Analyze ethical implications and societal impacts of AI technologies.

Curriculum Highlights

The curriculum includes core requirements in AI and machine learning, with electives in computer vision, robotics, and reinforcement learning.

Top Employers

Top employers include Google, Meta, OpenAI, and NVIDIA.

Admissions

A bachelor's degree in computer science or related field with strong GPA (typically 3.5+), programming experience, and relevant coursework in algorithms and data structures is required. GRE is optional, with preference for applicants showing research potential or industry experience in AI.

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 100+ / IELTS 7.0+)