Master of Arts · Full-time · On Campus

Columbia University
New York, United States


The ISEG - Lisbon School of Economics and Management offers the Master of Science in Data Analytics for Business, a 1.5-year, full-time on-campus program designed to help students transform business data into strategic insights. The curriculum covers data visualization, predictive analytics, machine learning, and business intelligence to support evidence-based decision-making.
Graduates are qualified for careers in business analytics, data science, and business intelligence. The program prepares professionals to leverage data for innovation and organizational growth.
Semester 1 – Foundations of Business Analytics
Semester 2 – Advanced Business Analytics
Semester 3 – Research and Final Project
Graduates of the Data Analytics for Business Master’s program can work in business intelligence, strategic analysis, and data-driven management. With expertise in analytical tools, predictive modeling, and business data interpretation, graduates are well-prepared for careers as business analysts, data consultants, or analytics specialists. This program provides opportunities in corporations, technology companies, financial institutions, consulting firms, and organizations using data to improve performance and competitiveness.
The Data Analytics for Business Master’s program provides students with a comprehensive understanding of using data to support business performance and strategic decisions. Students gain expertise in statistical analysis, predictive modeling, and data visualization. The program’s interdisciplinary approach ensures that graduates are prepared for careers in business intelligence, consulting, technology, and management. Graduates are equipped to transform complex information into valuable and actionable business insights.
For further information, please contact the admissions office at:
Phone: +351 213 925 900
Email: seclic@iseg.ulisboa.pt
Address: ISEG - Lisbon School of Economics and Management, Rua do Quelhas, 6, 1200-781 Lisbon, Portugal
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