George Washington University - School of Engineering and Applied Science - M.S. Artificial Intelligence & Machine Learning

George Washington University - School of Engineering and Applied Science

M.S. Artificial Intelligence & Machine Learning

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Overview
Class Profile
Career Opportunities
Program Features
Eligibility Criteria
Fees & Funding

Explore other GWSEAS programs

Master of Science in Applied Computer Science

Duration

18 MONTHS

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Master of Science in Biomedical Engineering

Duration

24 MONTHS

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Master of Science in Civil and Environmental Engineering

Duration

12 MONTHS

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Know More about the GWSEAS M.S. Artificial Intelligence & Machine Learning Program

The Master of Science in Biomedical Engineering equips students to apply engineering principles to challenges in medicine and biology, develop models of living systems, and design innovative biomedical devices and technologies that advance human health. The program is highly interdisciplinary, allowing students to select from a wide range of study areas across the university, including biology, public health, and regulatory affairs. Coursework may cover topics such as cancer therapeutics, cardiac electrophysiology, biosensors, microfluidics, medical imaging and image analysis, optogenetics, robotics, and ultrasound applications in medicine. Located in the heart of Washington, DC, the university offers students unparalleled access to leading research and government institutions. These include GW Hospital, the U.S. Food and Drug Administration (FDA), the National Institutes of Health (NIH), the National Institute of Standards and Technology (NIST), and Childrenâ€™s Nation ..... Read More

Duration

24 Months

201

According to Shiksha, THE ranks GW at #201 in 2025.

THE (Times Higher Education) - 2025

74

GW Engineering climbed from #88 to #74 in the latest U.S. News rankings.

U.S. News & World Report - 2025

How does the Class Profile of GWSEAS's M.S. Artificial Intelligence & Machine Learning Program look like?

Average Class Size

Average Age

Average Work Experience

Want to See Who You'll Be Learning With?

Explore detailed class demographics, academic backgrounds, and industry experiences that define your future classmates.

Where do graduates of GWSEAS's M.S. Artificial Intelligence & Machine Learning program land? Discover More!

Median Earnings after Graduation

USD 0 /- year

Employment Rate

% students employed within months

Recruiters

Prospective Job Roles

Eligibility Criteria for GWSEAS's M.S. Artificial Intelligence & Machine Learning in Management program ?

Credential Evaluation Requirement

Mandatory English Proficiency Test

Mandatory GRE / GMAT Requirement

4 Year Bachelor’s Degree Requirement

Tuition Fees & Scholarship Opportunities!

Tuition Fees

USD 65850/- PER YEAR

Application Fee

USD 80/-

Scholarship Opportunities upto

USD 6 Million

Upcoming GWSEAS Events

We will be back Soon with Upcoming Events

On Demand Events

Traffickcam: An AI tool for global scale hotel recognition to support sex-trafficking investigations

AI for Social Impact and Human Rights

SEED Virtual STEM Masters Conclave - India

Meet Senior Leaders from America's Top-Ranked Engineering Schools

What Global Employers Look for in Graduate Engineers

Your Guide to Succeeding in a Global Engineering Workforce

SEED Virtual STEM Masters Conclave - Zimbabwe

Meet Senior Leaders from Americaâ€™s Top-Ranked Engineering Schools

SEED Virtual STEM Masters Conclave - Nigeria

Meet Senior Leaders from Americaâ€™s Top-Ranked Engineering Schools

SEED Virtual STEM Masters Conclave - Kenya

Meet Senior Leaders from Americaâ€™s Top-Ranked Engineering Schools

SEED Virtual STEM Masters Conclave - Ghana

Meet Senior Leaders from Americaâ€™s Top-Ranked Engineering Schools

Advancing Automated Mobility: AI-Based Traffic Data Extraction and AI-Powered Modeling of Humanâ€“Machine Dynamics

From Raw Data to Smarter Roads with AI

Virtual STEM Masters Conclave - IIT Hyderabad

Virtual STEM Masters Conclave -IIT Hyderabad

Photo Geometry: Measuring the World with AI and Cameras

Unlocking 3D Insights through AI-Driven Imaging

Beyond Acceptance: A Roadmap for Graduate Students Studying in the U.S

Navigating Academic, Cultural, and Professional Success

Maturation of a Novel System for Asset-Agnostic Wireless Monitoring of Medical Equipment -- From Basic Research to Addressing a Market Opportunity

Understand how cutting-edge research in systems engineering translates into real-world healthcare solutions

Machine Learning and Deep Learning for Electroencephalography (EEG)-based Brain Signal Analysis

AI-Powered Insights: Machine Learning and Deep Learning in EEG Analysis

Brain-inspired Hardware Technologies for Artificial Intelligence

The Future of Energy-Efficient AI with Memristor Technology

Mastering Application Strategies for Top US STEM Programs

Interact with the Admission Directors of leading US Engineering & Sciences schools

Using Conjoint Analysis to Inform EV Policy

Learn more about how to use Conjoint Analysis as a market research technique.

Overview
Class Profile
Career Opportunities
Program Features
Eligibility Criteria
Fees & Funding

Know More about the GWSEAS M.S. Artificial Intelligence & Machine Learning Program

Duration

24 Months

201

According to Shiksha, THE ranks GW at #201 in 2025.

THE (Times Higher Education) - 2025

74

GW Engineering climbed from #88 to #74 in the latest U.S. News rankings.

U.S. News & World Report - 2025

How does the Class Profile of GWSEAS's M.S. Artificial Intelligence & Machine Learning Program look like?

Average Class Size

Average Age

Average Work Experience

Want to See Who You'll Be Learning With?

Explore detailed class demographics, academic backgrounds, and industry experiences that define your future classmates.

Where do graduates of GWSEAS's M.S. Artificial Intelligence & Machine Learning program land? Discover More!

Median Earnings after Graduation

USD 0 /- year

Employment Rate

% students placed in months

Recruiters

Prospective Job Roles

Eligibility Criteria for GWSEAS's M.S. Artificial Intelligence & Machine Learning in Management program ?

Credential Evaluation Requirement

Mandatory English Proficiency Test

Mandatory GRE / GMAT Requirement

4 Year Bachelor’s Degree Requirement

Tuition Fees & Scholarship Opportunities!

Tuition Fees

USD 65850/- PER YEAR

Application Fee

USD 80/-

Scholarship Opportunities upto

USD 6 Million

Upcoming GWSEAS Events

We will be back Soon with Upcoming Events

On Demand Events

Traffickcam: An AI tool for global scale hotel recognition to support sex-trafficking investigations

AI for Social Impact and Human Rights

SEED Virtual STEM Masters Conclave - India

Meet Senior Leaders from America's Top-Ranked Engineering Schools

What Global Employers Look for in Graduate Engineers

Your Guide to Succeeding in a Global Engineering Workforce

SEED Virtual STEM Masters Conclave - Zimbabwe

Meet Senior Leaders from Americaâ€™s Top-Ranked Engineering Schools

SEED Virtual STEM Masters Conclave - Nigeria

Meet Senior Leaders from Americaâ€™s Top-Ranked Engineering Schools

SEED Virtual STEM Masters Conclave - Kenya

Meet Senior Leaders from Americaâ€™s Top-Ranked Engineering Schools

SEED Virtual STEM Masters Conclave - Ghana

Meet Senior Leaders from Americaâ€™s Top-Ranked Engineering Schools

Advancing Automated Mobility: AI-Based Traffic Data Extraction and AI-Powered Modeling of Humanâ€“Machine Dynamics

From Raw Data to Smarter Roads with AI

Virtual STEM Masters Conclave - IIT Hyderabad

Virtual STEM Masters Conclave -IIT Hyderabad

Photo Geometry: Measuring the World with AI and Cameras

Unlocking 3D Insights through AI-Driven Imaging

Beyond Acceptance: A Roadmap for Graduate Students Studying in the U.S

Navigating Academic, Cultural, and Professional Success

Maturation of a Novel System for Asset-Agnostic Wireless Monitoring of Medical Equipment -- From Basic Research to Addressing a Market Opportunity

Understand how cutting-edge research in systems engineering translates into real-world healthcare solutions

Machine Learning and Deep Learning for Electroencephalography (EEG)-based Brain Signal Analysis

AI-Powered Insights: Machine Learning and Deep Learning in EEG Analysis

Brain-inspired Hardware Technologies for Artificial Intelligence

The Future of Energy-Efficient AI with Memristor Technology

Mastering Application Strategies for Top US STEM Programs

Interact with the Admission Directors of leading US Engineering & Sciences schools

Using Conjoint Analysis to Inform EV Policy

Learn more about how to use Conjoint Analysis as a market research technique.

Explore other GWSEAS programs

Master of Science in Applied Computer Science

Duration

18 MONTHS

Know More

Master of Science in Biomedical Engineering

Duration

24 MONTHS

Know More

Master of Science in Civil and Environmental Engineering

Duration

12 MONTHS

Know More

View All

Frequently Asked Questions

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Contact us

For any queries, please feel free to reach out to us!

Email

seasgrad@gwu.edu

Phone

+202-994-1802