University of Southern California
PhD in Computer Science (AI & ML)
How this program compares
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Admission Snapshot
Typical admitted student: A master's degree in computer science or related field is preferred, along with a strong GPA (typically 3.5+), research experience, and relevant publications. GRE scores are often optional, with emphasis on letters of recommendation and a research statement.
About This Program
This research-intensive doctoral program focuses on pioneering contributions to fundamental and interdisciplinary fields of computing, AI, and machine learning.
Career Outcomes
Pursue 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 machine learning models for complex data problems.
- Conduct original research in AI algorithms and their theoretical foundations.
- Apply deep learning techniques to real-world applications like vision and language.
- Evaluate ethical implications and societal impacts of AI systems.
Curriculum Highlights
The program emphasizes original research, doctoral seminars, and specialized coursework at the intersection of machine learning and optimization.
Top Employers
Top employers include Google, Microsoft, OpenAI, Meta, and government research labs like DARPA.
Admissions
A master's degree in computer science or related field is preferred, along with a strong GPA (typically 3.5+), research experience, and relevant publications. GRE scores are often optional, with emphasis on letters of recommendation and a research statement.
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 with strong research background)
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 6.5+)
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