Business Analytics
The Business Analytics program is a two-year full-time pathway designed for professionals and graduates seeking advanced expertise in data-driven decision-making, predictive modeling, and business intelligence. Across four semesters, participants explore data analysis, statistical modeling, machine learning, and business strategy, gaining the skills to transform complex data into actionable insights. The curriculum emphasizes both technical proficiency and strategic thinking, enabling students to interpret data trends, optimize business processes, and support organizational decision-making. Through case studies, hands-on projects, and applied research, students develop analytical skills, data interpretation expertise, problem-solving capability, and strategic insight, preparing them for high-impact roles in data-focused industries.
The program also highlights interdisciplinary collaboration, applied research, and ethical data practices. Students engage with faculty experts, work on real-world business analytics projects, and complete assignments that integrate quantitative methods with business strategy. This immersive environment strengthens statistical reasoning, project management, data visualization, and communication skills. Graduates leave the program equipped to analyze complex datasets, implement predictive models, guide business strategy, and pursue advanced careers in analytics or further study in related fields.
Key information
Key Facts
- Program Title: Business Analytics
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 07 January 2026
- Location: University of Notre Dame, United States
- Field of Study: Business Intelligence
- Language of Instruction: English
Program Structure
Semester 1 - Foundations in Business Analytics
• Introduction to Business Analytics and Data Science
• Statistical Methods and Data Analysis
• Programming for Data Analytics
• Business Intelligence Concepts
Semester 2 - Advanced Analytics and Applied Modeling
• Predictive Analytics and Machine Learning
• Data Management and Big Data Technologies
• Optimization and Decision-Making Models
• Applied Analytics Project
Semester 3 - Specialization and Industry Applications
• Marketing and Financial Analytics
• Operations and Supply Chain Analytics
• Applied Research Project / Case Studies
• Elective Modules in Business Strategy or Technology
Semester 4 - Capstone Project and Strategic Insights
• Independent Research or Thesis
• Business Analytics Consulting Project
• Data Visualization and Reporting
• Professional Portfolio and Presentation
Career Opportunities
Graduates of this program are prepared for careers where advanced analytical skills, data interpretation, and strategic insight are essential. Potential career paths include data analyst, business intelligence consultant, data scientist, analytics manager, and strategic business consultant, where graduates apply quantitative, technical, and problem-solving skills to drive organizational performance. The program equips students to develop predictive models, analyze complex datasets, guide strategic decisions, and implement data-driven solutions. Graduates are also positioned for leadership roles, consulting opportunities, or further academic study in data science and analytics.
Why Choose This Program
This program provides a comprehensive and applied approach to data analysis, predictive modeling, business intelligence, decision-making, and strategic analytics. Participants benefit from mentorship by experienced faculty, hands-on projects, and applied research that connects theoretical methods with practical business challenges. The curriculum emphasizes critical thinking, technical proficiency, and ethical data practices, preparing graduates to interpret complex information, advise organizations effectively, and implement data-driven strategies. Through immersive learning, applied projects, and professional development, students gain the skills, confidence, and analytical competence necessary to excel in high-demand analytics and business intelligence roles.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 574 631 5000
Email: admissions@nd.edu
Address: University of Notre Dame, Notre Dame, IN 46556, United States
