Business Analytics

Study mode:On campus Study type:Full-time Languages: English
Local:$ 32 k / Year(s) Foreign:$ 32 k / Year(s) Deadline: Feb 1, 2026
StudyQA ranking:3770 Duration:2 years

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The Master of Science in Business Analytics at The George Washington University is designed to prepare students for the rapidly evolving field of data-driven decision making in the business world. This comprehensive program offers a rigorous curriculum that combines the principles of data analysis, statistical methods, and computational techniques to equip graduates with the skills needed to extract actionable insights from complex data sets. Students will learn how to leverage cutting-edge tools and technologies, such as machine learning, data visualization, and programming languages like Python and R, to solve real-world business problems across various industries.

The program emphasizes both theoretical foundations and practical applications, ensuring that students become proficient in designing and implementing analytics strategies that improve organizational performance. Throughout their studies, students will explore topics including data management, predictive modeling, optimization, and ethical considerations in data usage. The curriculum is designed to foster critical thinking, problem-solving, and effective communication, enabling graduates to translate technical findings into strategic business recommendations.

The GW Business Analytics program also offers opportunities for experiential learning through case studies, projects with industry partners, and internships, providing students with valuable hands-on experience. With a flexible format that accommodates working professionals, the program can be completed on campus or online, making it accessible to a diverse student body. Graduates of this program are well-positioned to pursue careers in data analysis, consulting, finance, marketing, and other fields where insights from data are essential for strategic decision-making. As the demand for analytics expertise continues to grow across all sectors, The George Washington University’s program offers a competitive edge for those looking to excel in the data-driven economy.

The following requirements must be fulfilled: 33 credits, including 25.5 credits in required courses and 7.5 credits in elective courses.

Course List
Code Title Credits
Required  
DNSC 6201 Introduction to Business Analytics  
DNSC 6203 Statistics for Analytics I  
DNSC 6206 Stochastic Fndn: Prob Models  
DNSC 6210 Decision and Risk Analytics  
DNSC 6211 Programming for Analytics  
DNSC 6212 Optimization Methods and Applications  
DNSC 6213 Statistics for Analytics II  
DNSC 6216 Business Analytics Skills Workshops  
DNSC 6217 Business Analytics Practicum  
DNSC 6219 Time Series Forecasting for Analytics  
DNSC 6279 Data Mining  
ISTM 6212 Data Management for Analytics  
Electives  
7.5 credits in elective courses selected in consultation with the advisor.
  • 4-Year Bachelor Degree
  • Completed Online Application: With $75 non-refundable application fee.
  • Current Résumé: Uploaded through the online application system. Resumes should highlight any academic or professional experience related to analytics.
  • Three Letters of Recommendation: From professional and/or academic references.
  • Statement of Career Objective: In no more than 500 words, describe your career objectives and how the MSBA program will help you meet those objectives.
  • Include a photocopy of the biographic/identification page of your passport with your application.
  • Academic IELTS: an overall band score of 7.0 with no individual band score below 6.0.
  • TOEFL: 600 on paper-based or 100 on Internet-based.
  • PTE Academic: 68.
  • Official GMAT Score or GRE Score

The George Washington University offers various financial aid options for students enrolled in the Business Analytics program to support their educational expenses. These options include federal and private scholarships, grants, and loan programs. Federal financial aid is available to eligible students who complete the Free Application for Federal Student Aid (FAFSA), which allows them to access grants such as the Pell Grant and federal student loans with favorable interest rates and repayment terms. Additionally, GWU provides institutional scholarships based on academic achievement, leadership qualities, and financial need, which do not require repayment. The university also offers merit-based scholarships specific to graduate students pursuing business-related degrees, including Business Analytics.

Students are encouraged to explore external funding sources as well, such as private foundations and industry-sponsored scholarships, which may have specific criteria related to career objectives or demographic background. The university’s financial aid office provides comprehensive counseling services to help prospective and current students identify suitable funding options, prepare necessary documentation, and navigate the application process. Payment plans are often available to accommodate students’ financial situations by spreading out tuition payments over the semester or year, thereby reducing the immediate financial burden.

Moreover, the university’s Career Center offers resources to assist students in securing internships and part-time positions with companies in the analytics and business sector, which can supplement their income during studies. Many students also consider employer tuition reimbursement programs if they are working while studying. It is important for students to review the specific financial aid eligibility criteria, application deadlines, and award amounts directly on the GWU financial aid webpage or by contacting the financial aid office. While the exact amount of financial aid awarded varies based on individual circumstances, GWU’s comprehensive support system helps many students finance their education in Business Analytics and graduate without excessive debt, enabling them to focus on acquiring the skills necessary for successful careers in data-driven decision-making.

The George Washington University offers a Master of Science in Business Analytics designed to equip students with essential skills in data analysis, statistical methods, and business intelligence. The program focuses on developing the ability to extract actionable insights from complex datasets, supporting strategic decision-making in various business contexts. Through a rigorous curriculum, students learn to utilize advanced analytics tools and techniques, including machine learning, predictive modeling, and data visualization. The program emphasizes practical application, encouraging students to work on real-world projects and case studies that mirror industry challenges. Students also gain a comprehensive understanding of data management, programming languages such as R and Python, and data-driven decision-making frameworks. The curriculum integrates courses in business strategy, operations, and management to ensure that graduates can align analytical insights with organizational goals. The program caters to recent graduates, as well as professionals seeking to deepen their expertise in data analytics, offering flexible learning options including part-time and online formats. With access to GW’s extensive network of industry partners and a vibrant academic community, students have abundant opportunities for internships, networking, and collaborative projects. Upon completion, graduates are well-prepared for roles such as Data Analyst, Business Intelligence Analyst, Data Scientist, and Analytics Consultant across diverse industries including finance, healthcare, technology, and government sectors. The university emphasizes fostering an innovative mindset, critical thinking, and problem-solving skills necessary for success in a data-driven world. The program's faculty comprises experienced professionals and researchers dedicated to advancing knowledge and practice in business analytics. Overall, GW’s Business Analytics program aims to produce versatile, competent professionals capable of leveraging data to create strategic advantage and drive organizational growth.

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