Washington University Master of Science in Business Analytics (MSBA) Program Supplementary Application Guide
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WashU Master of Science in Business Analytics (MSBA) Program Overview
The Master of Science in Business Analytics (MSBA) at Washington University’s Olin Business School is an 18-month, full-time program designed to equip students with advanced analytical and technical skills to excel in the rapidly growing field of business analytics.
The program offers six specialized concentrations: Accounting Analytics, Customer Analytics, Fintech Analytics, Healthcare Analytics, Supply Chain Analytics, and Talent Analytics. With a strong emphasis on experiential learning, students engage in real-world projects through the Center for Experiential Learning and the Center for Analytics and Business Insights, ensuring they gain practical experience alongside academic knowledge.
The curriculum’s STEM designation underscores its focus on science, technology, engineering, and mathematics, preparing graduates for data-driven roles across various industries.
WashU Master of Science in Business Analytics (MSBA) Supplementary Application Questions' Format
Essays
- Required essay: A personal statement that describes how your life experiences have shaped your decision to apply to graduate school and how you believe WashU Olin will help you achieve your long-term professional and personal goals. (500-word maximum)
- Career Prompt: Please describe what your ideal career will be immediately following graduation from business school. (100-word maximum)
- Optional essay: Is there anything else you would like to share? If so, please provide additional information not previously addressed in the application that would help the admissions committee assess your candidacy. (250-word maximum)
WashU Master of Science in Business Analytics (MSBA) Supplementary Application Timeline / Deadline
What is the Program Looking for?
The program seeks candidates with a robust academic background, particularly in fields such as business, economics, engineering, mathematics, or computer science. Applicants should have completed Calculus I and II, as well as Statistics, demonstrating strong quantitative and analytical abilities. Proficiency in programming languages like SQL, Python, Tableau, and R is advantageous. Ideal candidates exhibit effective communication skills, problem-solving capabilities, and a collaborative mindset, essential for thriving in team-oriented environments and tackling complex business challenges.
How Myls Interview can Help?
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