Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or equivalent and calculus/linear algebra prerequisites.

About This Program

Located in Silicon Valley, this master's degree blends technical training with ethical considerations, preparing graduates to build and lead responsible, industry-ready artificial intelligence systems.

Career Outcomes

Thrive as Robotics Engineer in Engineering AI with machine learning expertise

1. Machine Learning Engineer
2. AI Research Scientist
3. Data Scientist
4. AI Software Developer

What You'll Learn

Design and implement machine learning models for predictive analytics
Develop deep neural networks for complex pattern recognition
Apply natural language processing techniques to text and speech data
Build ethical AI systems addressing bias and fairness

Curriculum Highlights

The dual-track curriculum offers concentrations in either Computer Science and Engineering or Electrical and Computer Engineering, covering robotics, natural language processing, and computer vision.

Top Employers

Top employers include Google, Meta, Amazon, Microsoft, and AI-focused startups in Silicon Valley.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or equivalent and calculus/linear algebra prerequisites.

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: Optional
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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