Enter OTP
The Master of Science in Data Analytics (MSDA) at George Washington University (GWU) equips students with a rigorous foundation in data science, statistical modeling, and computational analytics for real-world decision-making. Offered by the Department of Engineering Management and Systems Engineering (EMSE), this STEM-designated program blends analytical techniques with practical tools for solving complex problems across industries including government, tech, finance, and healthcare.
Designed for engineers, scientists, and technical professionals, the program emphasizes data-driven modeling, machine learning, and systems-level thinking, with flexibility to tailor coursework to domain-specific interests.
Program Format & Duration
Full-time or part-time, in-person program
Duration: Typically 2 years full-time (can be extended for part-time students)
Location: GWU’s Foggy Bottom campus, Washington, D.C.
STEM-designated (OPT-eligible for international students)
Fall, Spring, and Summer intakes
GRE optional
Core Curriculum Components
The MSDA program provides students with essential quantitative and computational skills, while also developing critical thinking and business intelligence perspectives.
Core Courses (Required)
Students complete foundational courses in:
Statistical and Mathematical Foundations
Probability and Stochastic Processes
Statistical Modeling and Inference
Optimization Techniques
Data Analytics & Computing
Data Management and Warehousing
Machine Learning Applications
Programming with R, Python, or MATLAB
Big Data and Cloud Analytics
Decision and Systems Analysis
Decision Analysis
Risk Management
Systems Engineering and Modeling
Capstone or Research Component
A hands-on, team-based capstone project or individual research thesis
Involves real data sets and industry-relevant challenges
Requires integration of tools, models, and strategic insights
Electives
Students can specialize or broaden their training through electives such as:
Data Visualization
Deep Learning
Computational Intelligence
Engineering Economics
Operations Research
Analytics for Cybersecurity or Health Informatics
GWU emphasizes practical application of data analytics through capstones, access to policy and industry networks, and D.C.-based research opportunities.
Capstone Project
Mandatory in the final semester
Teams work on industry-sponsored or government-aligned data problems
Projects may involve:
Fraud detection systems
Optimization models for public transport
Predictive analytics for health outcomes
Energy systems data analysis
Professional Seminars & Guest Lectures
Regular interaction with data science professionals from:
World Bank, IMF, NIH
Capital One, Booz Allen Hamilton
Federal agencies and think tanks
Research and Labs
Students may join interdisciplinary research through:
GW Institute for Data, Democracy & Politics
Center for Intelligent Systems Research
Collaborations with public health, defense, or urban systems faculty
Internships & Industry Engagement
While not required, students benefit from GWU’s D.C. location for internships with:
Federal agencies
Consulting firms
Nonprofits and multilateral organizations
Graduates of the MSDA program are well-positioned to transition into technical leadership roles in analytics, operations, or research across sectors. The program’s blend of theory, technical tools, and systems perspective makes it valuable for careers that demand both data literacy and strategic thinking.
Career Outcomes
Typical roles include:
Top Employers
Alumni go on to work with:
Graduate Study & Certifications
Some graduates pursue:
Salary Overview-
Top Employers-
Geographic Placement-
Industry Sectors-
Career Growth and Progression-
What This Means for You-
Online Application: Complete and submit the SEAS online graduate application form.Transcripts: Upload scanned copies of unofficial transcripts from all institutions attended; official and certified translations required only upon admission.Bachelor’s Degree & GPA: Hold a bachelor’s degree and typically maintain a minimum GPA of 3.0 for the last 60 credit hours. Prerequisites: Demonstrate completed undergraduate coursework in calculus, programming, probability, and statistics.Standardized Tests: GRE is optional (no minimum); GMAT is not accepted; international students must submit TOEFL/IELTS/PTE/Duolingo scores unless exempt. Letters of Recommendation: Provide at least two recommendation letters via the online portal from academic or professional referees.Statement of Purpose: Upload a 250–500 word statement outlining academic objectives, career goals, and qualifications.Résumé/CV: Include a current résumé or CV that highlights education, skills, relevant work, and research experience.Application Fee & Waiver: Pay the $80 application fee online (fee waivers available for GW students/alumni, veterans, military, etc.).Deadlines: Submit by January 15 for Fall (priority), September 1 for Spring, or March 1 for Summer (non-visa); Fall applications are reviewed on a rolling basis. Three‑Year Bachelor’s Degrees: GWU requires a U.S.-equivalent bachelor’s degree, and three-year degrees are generally not accepted unless discussed and approved by the admissions office.WES Evaluation: Applicants must submit official academic transcripts directly from the issuing institutions, and credential evaluations like WES are not accepted in place of these.Data AnalystData ScientistBusiness AnalystStatisticianStatistical ProgrammerSAS ProgrammerMachine Learning EngineerDeep Learning EngineerAI ResearcherData EngineerBI DeveloperData ArchitectAnalytics ConsultantAdvisory ConsultantQuantitative AnalystRisk AnalystOperations AnalystMarketing AnalystResearch ScientistInsights AnalystForecasting AnalystHealthcare Data AnalystFinancial Data AnalystProduct Analyst
Embark on your educational journey with confidence! Our team of admission experts is here to guide you through the process. Book a free session now to receive personalized advice, assistance with applications, and insights into your dream school. Whether you're applying to college, graduate school, or specialized programs, we're here to help you succeed.
George Washington University
