MasterOnlinePart-Time

George Washington University

Online Master of Engineering in AI & ML

Washington, District of Columbia1 years$36K total tuition
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How this program compares

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Est. Salary$130,000 AI Systems Engineer
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOnline

Admission Snapshot

Degree Required
Master of Engineering (MEng)
Duration
1 year
Est. Tuition
$36K total
Format
Online
Schedule
Part-Time
GRE / GMAT
Not Required
Concentrations
Natural Language Processing (NLP), Deep Learning

Typical admitted student: 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.

About This Program

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

Career Outcomes

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

  • 1. Machine Learning Engineer
  • 2. AI Systems Architect
  • 3. Data Scientist
  • 4. AI Research Engineer

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

Curriculum Highlights

The curriculum emphasizes applied machine learning, cloud systems, and robotics, requiring 30 credits for completion including a mentored capstone.

Top Employers

Top employers include Google, Microsoft, Amazon, IBM, Meta, OpenAI, and major financial institutions and government agencies investing in AI infrastructure and applications.

Admissions

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.

Application Materials

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

Academic Requirements

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

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