

The Master of Science in Business Analytics provides an intensive program for students seeking to develop expertise in data driven decision making, business intelligence, and analytical strategy. The curriculum emphasizes the use of quantitative methods, statistical modeling, and data visualization to extract actionable insights from complex business data. Through this program, students refine data analysis, predictive modeling, business intelligence, and decision making skills, preparing them to drive organizational performance and strategic initiatives in a competitive business environment.
This one year, full time and on campus program immerses students in a practical and rigorous learning environment where they engage with experienced faculty and industry experts. Coursework combines hands on projects, case studies, and real world datasets to develop proficiency in tools and techniques for business analysis. Students strengthen data visualization, machine learning applications, strategic analytics, and performance evaluation, equipping them to design analytical frameworks, interpret complex datasets, and provide insights that support evidence based decision making across industries.
Semester 1 – Foundations of Business Analytics
• Introduction to Business Analytics
• Statistical Methods for Data Analysis
• Data Management and Visualization
• Research Methods for Business Decision Making
Semester 2 – Advanced Analytics and Strategic Application
• Predictive Modeling and Machine Learning
• Business Intelligence and Decision Support Systems
• Data Driven Strategy and Performance Analysis
• Capstone Project in Business Analytics
Graduates of this program are prepared for roles where data driven decision making and analytical expertise are critical. Career paths include business analyst, data scientist, analytics consultant, business intelligence specialist, and strategy analyst in industries such as finance, technology, consulting, and marketing. Graduates are equipped to analyze complex data, develop predictive models, design dashboards, and provide actionable insights that support organizational strategy. The program also prepares learners for roles in project management, research, and analytics leadership, enabling them to contribute effectively to evidence based decision making and business growth.
Students choose this program because it combines advanced analytical techniques, business intelligence skills, strategic decision making, and hands on application within an intensive one year format. The curriculum emphasizes practical experience through case studies, collaborative projects, and mentorship from faculty with industry expertise, allowing learners to translate data insights into actionable business strategies. Graduates gain the knowledge, confidence, and professional capabilities necessary to lead analytics initiatives, improve organizational performance, and drive data informed innovation across a wide range of sectors.
For further information, please contact the admissions office at:
Phone: +1 212 854 1754
Email: admissions@columbia.edu
Address: University of Columbia, Admissions Office, New York, NY, United States