Typical admitted student: A master's degree in computer science, computing, or a related field with strong research experience is preferred; applicants need a minimum GPA of 3.5 and relevant background in AI or programming.

About This Program

This doctoral program focuses on advanced research in artificial intelligence, emphasizing the development of theory, systems, and hardware while providing flexibility for specialized studies.

Career Outcomes

Command advanced AI Research Scientist in Cross-Industry AI through machine learning

1. AI Research Scientist
2. Machine Learning Engineer
3. University Professor
4. AI Technical Lead

What You'll Learn

Design and implement advanced AI models for complex problem-solving
Conduct original research in machine learning and AI applications
Analyze and optimize AI algorithms for scalability and efficiency
Evaluate ethical implications and biases in AI systems

Curriculum Highlights

The curriculum includes core theory courses, intensive research credits, and flexible elective areas tailored to individual research tracks and technological interests.

Top Employers

Top employers include Google, Meta, OpenAI, Microsoft Research, and national labs like Lawrence Berkeley or Sandia.

Admissions

A master's degree in computer science, computing, or a related field with strong research experience is preferred; applicants need a minimum GPA of 3.5 and relevant background in AI or programming.

Application Materials

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

Academic Requirements

Degree Required: Master's degree preferred (Bachelor's acceptable for direct PhD entry)
GRE/GMAT: Optional
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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