

The Master of Science in Applied Analytics provides an in depth study of data analysis, business intelligence, and quantitative decision making in organizational contexts. Students explore statistical modeling, predictive analytics, data visualization, and machine learning while developing skills to extract insights from complex datasets. The program combines theoretical foundations with applied projects, helping learners develop analytical expertise in data driven decision making, problem solving, and performance optimization. Through coursework, case studies, and hands on projects, students gain insight into how analytics can guide strategic decisions, improve operations, and create competitive advantages for organizations.
The program also emphasizes practical skills, computational tools, and professional application. Faculty mentorship, applied projects, and hands on exercises allow students to build practical competence in data analysis, visualization, and predictive modeling. Graduates are prepared to work in consulting firms, financial institutions, technology companies, and multinational corporations, applying analytical and data driven strategies to improve performance, guide business decisions, and solve complex organizational challenges. The curriculum ensures that students leave with both conceptual understanding and applied skills essential for careers in analytics, business intelligence, and data science.
Semester 1 Foundations in Applied Analytics
• Introduction to Data Analytics
• Statistical Modeling and Methods
• Data Visualization and Reporting
• Research Methods in Applied Analytics
Semester 2 Advanced Analytics Techniques
• Predictive Analytics and Machine Learning
• Business Intelligence and Decision Support
• Applied Analytics Project
• Seminar in Data Driven Strategies
Semester 3 Capstone and Applied Research
• Advanced Data Modeling and Optimization
• Analytics for Strategic Decision Making
• Capstone Project in Applied Analytics
• Applied Research in Business Intelligence
Graduates of this program are prepared for careers in consulting firms, financial institutions, technology companies, and multinational corporations, where expertise in analytics and data driven decision making is essential. Alumni may work as data analysts, business intelligence specialists, analytics consultants, predictive modelers, or data scientists, applying computational and analytical skills to solve organizational problems and improve strategic outcomes. The combination of applied projects, advanced modeling, and business intelligence equips graduates to contribute to decision making, operational efficiency, and performance optimization. Some graduates pursue doctoral studies in analytics, data science, or business intelligence. Graduates leave ready to apply analytics in real world business contexts.
Students choose this degree for its combination of applied analytics and business intelligence, offering a curriculum that integrates statistical methods, predictive modeling, and decision support systems. The program emphasizes practical projects, capstone work, and advanced computational techniques, allowing learners to develop skills in data analysis, strategic decision making, and problem solving. Faculty mentorship, applied projects, and research exercises support students in translating theory into actionable insights for organizational success. For individuals seeking a graduate program that prepares them for impactful careers in data driven decision making and analytics, this degree provides a focused and highly relevant pathway.
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