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

Students build proficiency in secure and trustworthy AI, exploring how to protect sensitive data while implementing large-scale intelligent models.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum emphasizes applied machine learning, cloud systems, and robotics, requiring 30 credits for completion including a mentored capstone.
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.

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Career Opportunities in AI

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

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
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
36.0%
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.
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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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