Jul 18, 2024  
Rensselaer Catalog 2019-2020 
Rensselaer Catalog 2019-2020 [Archived Catalog]

Master of Science in Business Analytics

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This degree program provides students with the knowledge and essential business and technical 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 handle large scale data, and develop and utilize statistical and analytics models to mine the data to gain business insights. This includes: cutting-edge analytical modeling; statistical analysis; data management techniques; emerging concepts, practices, and techniques in handling big data; data modeling and analysis to identify patterns; and applying skills to real-world problems in specific business domains. 

The program is one year and 30 credits. 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.

This program is designed to provide hands-on experience through real-world problem solving. Academic partnerships with IBM and SAS, a business analytics software and services provider, will allow students to access a suite of software tools from these firms. Students will be able to use these software platforms in their courses in real world projects with a number of organizations to gain practical experience.

A two-semester Professional Development Workshop series is also required, to help students develop business communication, teamwork, leadership, and job search skills.

Outcomes of the Graduate Curriculum

Students who successfully complete this program will be able to:

  • demonstrate a mastery of the quantitative elements of business analytics.
  • correctly apply cutting-edge analytical modeling techniques (Analytics).
  • construct data sets to address business problems (Data).
  • demonstrate familiarity with emerging technologies and practices in handling big data (Technology).
  • effectively visualize and display data (Visualization).
  • communicate analytics insights in writing (Written Communication).
  • create and deliver business presentations (Verbal Communication).
  • demonstrate knowledge of key business functions related to analytics.

Required Analytics Core Courses

15 credits

Domain Focused Courses

6 credits

Choose two courses from an evolving list of domain specific electives. A sample list is provided below:

  • ISYE 6961 - Projects in Big Data Credit Hours: 3

Required Professional Development and Career Workshops

  • MGMT 7770-1 Professional Development Workshop 1/Career Workshops  Credit Hours: 0
  • MGMT 7780-1 Professional Development Workshop 2/Career Workshops  Credit Hours: 0

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