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Business Analytics for Operations Concentration

Why Business Analytics for Operations?

Learn to create applications and processes which improve business operations and assess risk and opportunities in dynamic business environments. As part of the Rutgers Stackable Business Innovation Program (rSBI), the Business Analytics for Operations Concentration is stackable with the following master's programs: Master of Information Technology and Analytics, MBA.

Concentration Description

This concentration enables students to take advantage of detailed technical knowledge about decision-making in business environments brimming with uncertainty and risk-related concerns. It balances between foundational theories concerning optimization and stochastics, as well as programming-language know-how. Both operational and financial aspects of running real businesses will be covered. Special attention will be paid to the data extraction, forecasting, and pricing/revenue decision areas of the retail and airline industries.


You can take the course listed below as individual classes or as stackable courses towards the completion of a concentration.

Business Analytics Programming

This course teaches the principles of programming for business analytics using the Python and R programming languages. Programming is the fundamental skill based on which all Information Systems are built. The course provides students with a working knowledge of programming and fundamental insights into what a programmer does.

  • Course Number: 22:198:660
  • Credits: 3
  • Delivery Mode: In-person
  • Offered By: Master of Information Technology and Analytics, MBA
  • Relevant Programs: Master of Information Technology and Analytics, MBA
  • Sample Relevant Careers: Software Engineer, Application Programmer, Application Developer, Business Applications Developer, Business Applications Analyst, Clinical Application Programmer, Lead Application Developer, Principal Software Engineer

Optimization Foundations for Data Science

This course teaches the foundations of optimization relevant to data science. Concepts and tools to be covered will include convexity, the Karush-Kuhn-Tucker optimality conditions, and duality. Various algorithms in the context of machine learning will be discussed as well. These include gradient- and descent-based methods. Also touched on will be topics such as online and stochastic gradient methods.

  • Course Number: 26:711:685
  • Credits: 3
  • Delivery Mode: In-person
  • Offered By: Ph.D. program
  • Relevant Programs: MBA
  • Sample Relevant Careers: Demand Forecasting Data Scientist, Demand Forecasting Analyst, Forecasting Planner, Demand Forecasting Manager, Data Analyst, Business Analyst, Business Intelligence Specialist, Quantitative Researcher, Optimization Engineer, Mathematical Scientist, Quantitative Analyst

Dynamic Pricing and Revenue Management

This course provides students with a basic understanding of the modern theory and practice of dynamic pricing and revenue management. It covers topics such as market-response models, economics of revenue management, estimation and forecasting, single-resource capacity control, network capacity control, overbooking, dynamic pricing of reversible and irreversible varieties, auction, competitive pricing, joint inventory-price control, and control with ambiguity.

  • Course Number: 26:711:685
  • Credits: 3
  • Delivery Mode: In-person
  • Offered By: Ph.D. program
  • Relevant Programs: MBA
  • Sample Relevant Careers: Revenue Management Manager, Revenue Manager, Revenue Analyst, Revenue Management Analyst, Pricing and Yield Manager, Revenue Operations Manager, Revenue Management Director, Pricing Specialist, Revenue Management Specialist


The concentration and courses are offered by the Management Science & Information Systems Department

Sample Relevant Careers: Operations and Inventory Analytics Manager, Business Analytics and Operations Manager, Data Scientist, Demand Forecasting Analyst, Data Analyst, Business Analyst, Business Intelligence Specialist, Quantitative Researcher

How to Apply

Learn about the admissions process and requirements to apply.

Rutgers Stackable Business Innovation (rSBI)

The future of education is changing. The Rutgers Stackable Business Innovation (rSBI) program allows you to design your own cutting-edge curriculum to earn a standalone certificate or take courses that be transferred towards completing a Master’s degree. Working professionals can enhance their knowledge and upskill by taking relevant courses. If you are a student considering a Master’s degree, rSBI is a perfect way to test the waters in a particular discipline before committing to a full degree program. Employers can invest in the professional development of their employees and choose the courses that address business needs.

Concentrations & Courses

rSBI Management Science & Information Systems courses are taken during the course of the fall and spring semesters. Note that not all courses are offered every semester.

rSBI Concentrations

View more of the available concentrations. Each academic department manages its own concentrations in the rSBI program.