M.S. in Business Analytics from Washington University 2026 Entry: Dates, Fees, Eligibility, Entry Requirements etc.

M.S. in Business Analytics from Washington University in St. Louis Overview

Olin Business School's 39-credit, 15–18 month M.S. in Business Analytics program focuses on business strategy, predictive analytics, and data-driven decision-making. With a 90% placement rate, graduates of this program land jobs in tech and consulting, earning an average salary of USD 80,000, or INR 69,45,600. There are multiple specialized tracks available in the program. FinTech, healthcare, supply chain, and customer analytics are all included in this program. This curriculum is deeply practical, focusing on applying data science tools to solve complex business problems, and includes an internship and industry consulting projects.

M.S. in Business Analytics from Washington University in St. Louis Fees

The annual cost of pursuing M.S. in Computer Science from Washington University in St. Louis is approximately $91,522/year which includes $67,522 in tuition fees and an estimated cost of $24,000 (may vary) for living expenses inclusive of housing, food and other living expenses.

M.S. in Business Analytics from Washington University in St. Louis Dates

The Washington University accepts applications for for the Fall semester and uses a round-based application system, graduate applications will be reviewed on a rolling basis.

(Early application is strongly encouraged for scholarship consideration and visa processing.)

(Early application is strongly encouraged for scholarship consideration and visa processing.)

M.S. in Business Analytics from Washington University in St. Louis Module 

• The curriculum typically includes a combination of core courses, electives, and possibly a capstone project or thesis. Core courses cover topics such as statistical modeling, data mining, machine learning, data visualization, and business analytics strategy.
• Elective courses allow students to specialize in areas such as marketing analytics, financial analytics, supply chain analytics, or healthcare analytics, depending on their interests and career goals.