George Washington University - School of Engineering & Applied Science

Master of Science in Data Analytics

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What makes GWSEAS's
Master of Science in Data Analytics Different!

Joint CS + EMSE backbone

Study in a jointly administered program between Computer Science and Engineering Management & Systems Engineering, uniting algorithms, systems, and decision science for end‑to‑end analytics leadership.

Small‑cohort, high‑touch learning

Learn in small cohorts with faculty from SEAS and the School of Business, emphasizing mentorship, collaboration, and applied case work across sectors.

Two focused tracks

Choose the Computer Science track for algorithms, ML, and infrastructure, or the EMSE track for applied machine learning, policy analytics, and decision modeling

Practice‑first core + capstone

Progress through a technical core in big data, analytics programming, data management, and statistics, culminating in a hands‑on capstone tackling real sponsor problems

Engineering‑grade analytics

Build the ability to design computing infrastructure and algorithmic techniques for big‑data analytics while mastering data cleaning, transformation, and reproducible workflows.

Know More about the GWSEAS Master of Science in Data Analytics Program

Offered jointly by GW’s Computer Science and Engineering Management departments, the MS in Data Analytics prepares professionals to lead in the data-driven world. Students build technical expertise through small-cohort learning, exploring big data, business analytics, and systems engineering while specializing in either Computer Science or Engineering Management tracks. ..... Read More

Duration

24 Months

Where do graduates of GWSEAS's Master of Science in Data Analytics program land? Discover More!

Median Earnings after Graduation

USD 69,212 /- year

Graduation Rate

85.00 %

Recruiters

Google Amazon Microsoft Meta Apple Netflix Deloitte PricewaterhouseCoopers (PwC) Ernst & Young (EY) KPMG McKinsey & Company Boston Consulting Group (BCG) Bain & Company IBM Oracle Salesforce Capital One JPMorgan Chase & Co. Goldman Sachs American Express Bank of America

Prospective Job Roles

Data Analyst Data Scientist Business Intelligence (BI) Analyst Business Analyst Data Engineer Analytics Consultant Quantitative Analyst Marketing Analyst Operations Analyst Financial Analyst Data Product Manager Machine Learning Engineer Business Intelligence Developer Data Architect Statistical Analyst Market Research Analyst

Eligibility Criteria for GWSEAS's Master of Science in Data Analytics 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 31950/- PER YEAR

Application Fee

USD 80/-

Scholarship Opportunities upto

USD 6 Million

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What makes GWSEAS's
Master of Science in Data Analytics Different!

Joint CS + EMSE backbone

Study in a jointly administered program between Computer Science and Engineering Management & Systems Engineering, uniting algorithms, systems, and decision science for end‑to‑end analytics leadership.

Small‑cohort, high‑touch learning

Learn in small cohorts with faculty from SEAS and the School of Business, emphasizing mentorship, collaboration, and applied case work across sectors.

Two focused tracks

Choose the Computer Science track for algorithms, ML, and infrastructure, or the EMSE track for applied machine learning, policy analytics, and decision modeling

Practice‑first core + capstone

Progress through a technical core in big data, analytics programming, data management, and statistics, culminating in a hands‑on capstone tackling real sponsor problems

Engineering‑grade analytics

Build the ability to design computing infrastructure and algorithmic techniques for big‑data analytics while mastering data cleaning, transformation, and reproducible workflows.

Know More about the GWSEAS Master of Science in Data Analytics Program

Offered jointly by GW’s Computer Science and Engineering Management departments, the MS in Data Analytics prepares professionals to lead in the data-driven world. Students build technical expertise through small-cohort learning, exploring big data, business analytics, and systems engineering while specializing in either Computer Science or Engineering Management tracks. ..... Read More

Duration

24 Months

Where do graduates of GWSEAS's Master of Science in Data Analytics program land? Discover More!

Median Earnings after Graduation

USD 69,212 /- year

Graduation Rate

85.00 %

Recruiters

Google Amazon Microsoft Meta Apple Netflix Deloitte PricewaterhouseCoopers (PwC) Ernst & Young (EY) KPMG McKinsey & Company Boston Consulting Group (BCG) Bain & Company IBM Oracle Salesforce Capital One JPMorgan Chase & Co. Goldman Sachs American Express Bank of America

Prospective Job Roles

Data Analyst Data Scientist Business Intelligence (BI) Analyst Business Analyst Data Engineer Analytics Consultant Quantitative Analyst Marketing Analyst Operations Analyst Financial Analyst Data Product Manager Machine Learning Engineer Business Intelligence Developer Data Architect Statistical Analyst Market Research Analyst

Eligibility Criteria for GWSEAS's Master of Science in Data Analytics 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 31950/- PER YEAR

Application Fee

USD 80/-

Scholarship Opportunities upto

USD 6 Million

Upcoming GWSEAS Events

Event Type
None
Virtual
In Person
Area Of Interest
None
MBA
Specialized Masters
Location
None
India
Africa
Middle East
img-blur-shadow

What Global Employers Look for in Graduate Engineers

Your Guide to Succeeding in a Global Engineering Workforce
Wednesday, 17 December 2025
1:30 PM EST (America/New_York)
Register Now
img-blur-shadow

SEED Virtual STEM Masters Conclave - India

Meet Senior Leaders from America's Top-Ranked Engineering Schools
Wednesday, 07 January 2026
1:30 PM EST (America/New_York)
Register Now

On Demand Events

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Meet Senior Leaders from America’s Top-Ranked Engineering Schools
Register to access the video
img-blur-shadow

SEED Virtual STEM Masters Conclave - Nigeria

Meet Senior Leaders from America’s Top-Ranked Engineering Schools
Register to access the video
img-blur-shadow

SEED Virtual STEM Masters Conclave - Kenya

Meet Senior Leaders from America’s Top-Ranked Engineering Schools
Register to access the video
img-blur-shadow

SEED Virtual STEM Masters Conclave - Ghana

Meet Senior Leaders from America’s Top-Ranked Engineering Schools
Register to access the video
img-blur-shadow

Advancing Automated Mobility: AI-Based Traffic Data Extraction and AI-Powered Modeling of Human–Machine Dynamics

From Raw Data to Smarter Roads with AI
Register to access the video
img-blur-shadow

Virtual STEM Masters Conclave - IIT Hyderabad

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Register to access the video
img-blur-shadow

Photo Geometry: Measuring the World with AI and Cameras

Unlocking 3D Insights through AI-Driven Imaging
Register to access the video
img-blur-shadow

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

Navigating Academic, Cultural, and Professional Success
Register to access the video
img-blur-shadow

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
Register to access the video
img-blur-shadow

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

AI-Powered Insights: Machine Learning and Deep Learning in EEG Analysis
Register to access the video
img-blur-shadow

Brain-inspired Hardware Technologies for Artificial Intelligence

The Future of Energy-Efficient AI with Memristor Technology
Register to access the video
img-blur-shadow

Mastering Application Strategies for Top US STEM Programs

Interact with the Admission Directors of leading US Engineering & Sciences schools
Register to access the video
img-blur-shadow

Using Conjoint Analysis to Inform EV Policy

Learn more about how to use Conjoint Analysis as a market research technique.
Register to access the video

Explore other GWSEAS programs

Master of Science in Applied Computer Science

Duration
N/A MONTHS

Master of Science in Biomedical Engineering

Duration
18 MONTHS

Master of Science in Civil and Environmental Engineering

Duration
24 MONTHS

Master of Science in Computer Engineering

Duration
24 MONTHS

Master of Science in Computer Science

Duration
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Master of Science in Cybersecurity in Computer Science

Duration
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Master of Science in Electrical Engineering

Duration
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Master of Science in Mechanical and Aerospace Engineering

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MS Engineering Management

Duration
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MS Systems Engineering

Duration
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M.S. Biomedical Engineering

Duration
N/A MONTHS

M.S. Civil & Environmental Engineering

Duration
N/A MONTHS

M.S. Computer Engineering

Duration
N/A MONTHS

M.S. Computer Science

Duration
N/A MONTHS

M.S. Cybersecurity in Computer Science

Duration
N/A MONTHS

M.S. Data Analytics

Duration
N/A MONTHS

M.S. Electrical Engineering

Duration
N/A MONTHS

M.S. Mechanical & Aerospace Engineering

Duration
N/A MONTHS

M.S. Systems Engineering

Duration
N/A MONTHS

Ph.D. Biomedical Engineering

Duration
N/A MONTHS

Ph.D. Civil & Environmental Engineering

Duration
N/A MONTHS

Ph.D. Computer Engineering

Duration
N/A MONTHS

Ph.D. Computer Science

Duration
N/A MONTHS

Ph.D. Electrical Engineering

Duration
N/A MONTHS

Ph.D. Engineering Management

Duration
N/A MONTHS

Ph.D. Mechanical & Aerospace Engineering

Duration
N/A MONTHS

Ph.D. Systems Engineering

Duration
N/A MONTHS
View All

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Frequently Asked Questions

Get all your questions answered about Master of Science in Data Analytics by GWSEAS

Most successful applicants have a strong quantitative background from fields like statistics, mathematics, computer science, engineering, economics, or business. However, candidates from other fields with demonstrated quantitative skills are also encouraged to apply.
Yes, proficiency in at least one programming language, such as Python or R, is typically required or strongly recommended. You should be comfortable with basic programming concepts, data structures, and algorithms.
This varies significantly by university. Many programs have made the GRE optional, but a strong score can still bolster your application, especially if your undergraduate GPA is not highly competitive. Always check the specific policy of the institution you're applying to
A strong application usually includes: A high undergraduate GPA in a quantitative field. Relevant work experience (internships or full-time roles). Strong letters of recommendation that speak to your analytical and technical skills. A compelling statement of purpose that clearly outlines your career goals and reasons for pursuing the degree.
The core curriculum almost always includes courses in statistical analysis, machine learning, data mining, database management, and data visualization. You will also likely take courses on programming for data science and the ethics of data handling.

Contact us

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

email
Email

engineering@gwu.edu

call
Phone

+1 202-994-1802