DC

Master's in AI
Online

George Washington University | Master of Engineering in Artificial Intelligence and Machine Learning

  • Washington


About This Program

This online program provides a comprehensive foundation in the data science and computational methods that underpin modern AI-driven technologies.

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What You'll Learn
  • Master core ML algorithms, deep learning techniques, and supervised/unsupervised learning models for solving complex engineering problems
  • Apply machine intelligence and reinforcement learning to real-world systems and data-driven decision-making
  • Develop proficiency in Python and data engineering tools for building AI-enabled systems at scale
  • Understand the societal impacts of AI and ML, including ethical considerations in AI deployment
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Master of Engineering (MEng) in Artificial Intelligence and Machine Learning at George Washington University is a 100% online graduate program designed for working professionals, combining synchronous and asynchronous coursework in ML foundations, advanced algorithms, and real-world AI applications.[1][2
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning and Neural Networks 3. Natural Language Processing (NLP) 4. Applied Machine Intelligence and Reinforcement Learning 5. Data Engineering for Artificial Intelligence 6. Advanced Optimization and Cognitive Computing
Program Specializations:
Computer Vision
AI Ethics/Policy
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree from a regionally accredited college or university (or equivalent international credential). A statement of purpose describing personal and professional interests, along with letters of recommendation and standardized test scores, are required.[1
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Specific score requirements not specified; standardized test scores required
• TOEFL/IELTS: TOEFL iBT required for international applicants

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: Required
• Resume: Required
• Official Transcripts: Required
• Completed Application Form: Required

Application Timeline

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

Check Application Deadlines
Career Opportunities in AI

Position as Machine Learning Engineer in Cross-Industry AI with computer vision expertise

Estimated Industry Salary
Machine Learning Engineer: $120,000 AI Systems Engineer: $125,000 Data Science Engineer: $115,000
Total compensation (entry to mid-level)
AI Job Growth
36%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Systems Architect 3. Data Science Engineer 4. AI Research Scientist
Top AI Employers (Industry-Wide):
Top employers for AI and ML professionals include Google, Microsoft, Amazon, Meta, IBM, and specialized AI firms like OpenAI and DeepMind, as well as government agencies and financial institutions investing heavily in AI infrastructure.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
$ 36,000
Format
Online
Specializations
Computer Vision
AI Ethics/Policy
Official Resources
Program Website
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