Stanford University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: Requires a bachelor's degree in a related field such as computer science, engineering, or mathematics, with a minimum GPA of 3.0; programming experience in Python and background in linear algebra and calculus are typically expected.

About This Program

This flexible online program is designed for working professionals seeking to gain a credential in the rapidly evolving field of AI.

Career Outcomes

Gain machine learning skills to advance as AI Research Scientist in Cross-Industry AI

• 1. AI Engineer
• 2. Machine Learning Specialist
• 3. Data Scientist
• 4. AI Research Analyst

What You'll Learn

• Implement supervised and unsupervised machine learning algorithms for real-world data.
• Design and train deep neural networks for tasks like image recognition and sequence modeling.
• Apply reinforcement learning techniques to optimization and decision-making problems.
• Develop AI systems with ethical considerations, bias mitigation, and responsible deployment.

Curriculum Highlights

The curriculum offers a selection of graduate-level computer science courses covering search, reasoning, machine learning, and intelligent systems.

Top Employers

Top employers include Google, Microsoft, Amazon, and Meta.

Admissions

Requires a bachelor's degree in a related field such as computer science, engineering, or mathematics, with a minimum GPA of 3.0; programming experience in Python and background in linear algebra and calculus are typically expected.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)