DC

PhD in AI
Online

George Washington University

Doctor of Engineering in AI and Machine Learning

  • Washington
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.

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What You'll Learn

Candidates gain high-level skills in data engineering, deep learning, computer vision, and generative AI while developing original research in their doctoral praxis.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
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.
Typical Course Topics
1. Advanced Machine Learning 2. Deep Learning and Neural Networks 3. AI Systems Engineering 4. Computer Vision and Image Processing 5. Natural Language Processing 6. Reinforcement Learning and Optimization
Program Specializations:
Generative AI and LLMs
Natural Language Processing (NLP)
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• Degree Required: Master’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Pursue advanced AI Research Scientist in Engineering AI through generative ai and llms

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI/ML Engineering Leader: $180,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Systems Architect 2. Machine Learning Director 3. Principal AI Engineer 4. Research Engineer in AI
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, Amazon, Microsoft, and engineering firms such as Lockheed Martin and Boeing.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 84,000
Format
Online
Specializations
Generative AI and LLMs
Natural Language Processing (NLP)
Official Resources
Program Website
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