Master of Science in Business Analytics

The M.S. in Business Analytics (one year and 30 credits) provides students with the knowledge and essential skills needed to respond to the new challenges characteristic of the data intensive decision-making environments in the world today. The program prepares students with the skills to understand, analyze, and integrate data into business functions:

  • Master cutting-edge analytical modeling;
  • Perform statistical analysis;
  • Excel at data management techniques;
  • Understand emerging concepts, practices, and techniques in handling big data;
  • Utilize data modeling and analysis to identify patterns;
  • Apply skills to real-world problems in specific business domains.


The curriculum offers a balance between foundational business concepts with skills in analytical and statistical modeling and data management. The curriculum includes three parts: a business core, an analytics core that includes both modeling and data management courses, and a domain-focused application core that includes project-based courses that allow students to apply their skills to real-world problems in specific domains.

Corporate Partnerships Foster Real-World Problem Solving

This program is designed to provide hands-on experience through real-world problem-solving. Academic partnerships with IBM and SAS will allow students to access a suite of software tools from these firms. Students will be able to use these software plat¬forms in their courses to gain practical experience. Real-world data sets will also be used.

Typical Master’s Course Sequence

Business Core Courses

Three (3) required courses:

  • Statistics and Operations Management I
  • Introduction to Accounting and Financial Management
  • Information Systems for Management

Analytics Core Courses

Three (5) required courses:

  • Technology Fundamentals for Analytics
  • Predictive Analytics
  • Advanced Data Resource Management
  • Advanced Quantitative Methods
  • Analytics Capstone

Plus, two (2) electives from the following:

  • Machine & Computational Learning
  • Neural Language Processing
  • Interactive Data Visualization
  • Projects in Big Data Analytics
  • Marketing Research Supply
  • Internet Marketing
  • Database Mining
  • Risk Management
  • Financial Econometrics Modeling
  • Supply Chain Analytics
  • Data and Society
  • Marketing Analytics
Program taught in:
  • English

See 3 more programs offered by Rensselaer Polytechnic Institute, Lally School of Management »

This course is Campus based
Start Date
1 year
51,000 USD
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