George Washington University
Doctor of Engineering in AI and Machine Learning
How this program compares
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Admission Snapshot
Typical admitted student: A master's degree in engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with relevant professional experience in AI or machine learning and strong quantitative background including linear algebra, probability, and programming.
About This Program
This research-based doctoral program provides advanced expertise in AI and machine learning, focusing on applying cutting-edge techniques to solve real-world engineering challenges.
Career Outcomes
Pursue advanced AI Research Scientist in Engineering AI through generative ai and llms
- 1. AI Systems Architect
- 2. Machine Learning Director
- 3. Principal AI Engineer
- 4. Research Engineer in AI
What You'll Learn
- Design and deploy scalable AI systems for engineering applications.
- Develop advanced machine learning models for real-world data challenges.
- Apply deep learning techniques to computer vision and natural language processing.
- Engineer ethical and robust AI solutions integrating engineering principles.
Curriculum Highlights
The 48-credit program consists of 24 credits of required coursework in subjects like reinforcement learning and analytical methods, followed by 24 credits of praxis research.
Top Employers
Top employers include tech leaders like Google, Amazon, Microsoft, and engineering firms such as Lockheed Martin and Boeing.
Admissions
A master's degree in engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with relevant professional experience in AI or machine learning and strong quantitative background including linear algebra, probability, and programming.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Master's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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