

The Master of Science in Applied Analytics is a one year full time program designed for students aiming to gain advanced skills in data analysis, business intelligence, and decision support. The curriculum integrates statistical modeling, predictive analytics, data visualization, and applied research to provide a comprehensive understanding of how analytics can drive strategic decisions across industries. Through this program, students develop data interpretation skills, predictive modeling expertise, analytics strategy competencies, and decision making abilities, preparing them to analyze complex datasets and transform insights into actionable business strategies.
This on campus program offers a practical, interactive environment where lectures, workshops, and applied projects enable students to apply analytical techniques to real world problems. Students refine data collection and cleaning methods, statistical and predictive modeling, business intelligence applications, and data driven decision making through hands on projects and collaborative exercises. Graduates are prepared to work in technology companies, financial institutions, consulting firms, healthcare analytics, and government agencies, equipping them to extract insights, design analytics solutions, implement data driven strategies, and provide evidence based recommendations to enhance organizational performance.
Semester 1 – Foundations in Applied Analytics
• Introduction to Data Analytics
• Statistical Methods for Analytics
• Data Visualization Techniques
• Research Methods in Analytics
Semester 2 – Advanced Applications and Analytics Practice
• Predictive Modeling and Machine Learning
• Business Intelligence and Decision Support
• Seminar in Applied Analytics
• Applied Project in Analytics Solutions
Graduates of this program are prepared for careers in data analysis, business intelligence, predictive modeling, and strategic analytics. Career paths include data analyst, business intelligence consultant, predictive analytics specialist, data strategist, and decision support analyst. Graduates are equipped to collect, analyze, and interpret complex datasets, implement analytics solutions, generate actionable insights, and support data driven decision making across organizations. The program also prepares learners for leadership and advisory roles in analytics teams, enabling them to optimize processes, improve business performance, and provide evidence based guidance in diverse industries.
Students choose this program because it combines data analysis, predictive modeling, business intelligence, and applied research skills within a one year intensive framework. The curriculum emphasizes practical application, analytical thinking, and strategy development, allowing learners to acquire the competencies necessary to solve real world business problems using data. Graduates gain the knowledge, confidence, and abilities to pursue careers in analytics, business intelligence, and decision support while contributing meaningfully to data driven strategies, organizational insights, and evidence based decision making in various professional contexts.
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