DC

Master's in ML
Online

George Washington University | Online Master of Engineering in AI & ML

  • Washington
About This Program

This STEM-designated online degree provides students with deep expertise in advanced machine learning tasks and AI system design.

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What You'll Learn
  • Design, implement, and optimize machine learning models for real-world engineering problems
  • Apply advanced AI techniques including deep learning, reinforcement learning, and natural language processing
  • Engineer data pipelines and systems that support large-scale AI applications
  • Evaluate the societal impacts and ethical implications of AI/ML technologies in professional contexts
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Online Master of Engineering (MEng) in Artificial Intelligence & Machine Learning at George Washington University is a graduate degree designed for working professionals, typically completed in 18–24 months on a part-time basis, focusing on machine learning foundations, advanced AI techniques, and real-world applications.
Typical Course Topics
1. Machine Learning Foundations 2. Natural Language Processing (NLP) 3. Deep Learning and Neural Networks 4. Applied Machine Intelligence and Reinforcement Learning 5. Data Engineering for Artificial Intelligence 6. Advanced Optimization and Cognitive Computing
Program Specializations:
Natural Language Processing (NLP)
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically need a bachelor's degree in a STEM field or related discipline with a strong academic record. Professional experience in technology, engineering, or data science is preferred but not always required; international applicants must demonstrate English proficiency via TOEFL (80+ iBT) or equivalent.
Academic Requirements (Typical)

• Degree Required: Master of Engineering (MEng)
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ iBT / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• 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.

Check Application Deadlines
Career Opportunities in AI

Advance as Machine Learning Engineer in Engineering AI with natural language processing (nlp) expertise

Estimated Industry Salary
Machine Learning Engineer: $130,000 AI Systems Engineer: $128,000 Data Scientist (AI/ML focus): $125,000 AI Research Engineer: $135,000
Total compensation (entry to mid-level)
AI Job Growth
0.36
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Systems Architect 3. Data Scientist 4. AI Research Engineer
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, IBM, Meta, OpenAI, and major financial institutions and government agencies investing in AI infrastructure and applications.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
$ 36,000
Format
Online
Specializations
Natural Language Processing (NLP)
Deep Learning
Official Resources
Program Website
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