Master of Business Administration: Business Analytics

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Master of Business Administration: Business Analytics

Business Analytics Concentration in Rowan's MBA

Why an MBA Concentration in Business Analytics?

Organizations use analytics to decide where to allocate resources, how to improve processes, how much risk to accept, and what outcomes are likely under different choices. Quantitative evidence can reveal patterns that are difficult to see through experience or intuition alone, but its value depends on asking the right questions and interpreting results in the context of an actual business problem. Business analytics gives professionals a structured way to examine performance, compare alternatives, test assumptions, and make decisions when outcomes depend on multiple variables or uncertain conditions. 

Business analytics draws on statistical, numerical, and analytical methods to understand what is happening and evaluate what could happen next. Process analysis can identify bottlenecks, inefficiencies, and opportunities to improve how work gets done. Quality analytics examines variation and performance against expectations. Predictive methods use historical data and statistical relationships to estimate likely outcomes, while prescriptive approaches use techniques such as optimization, simulation, and decision analysis to evaluate possible courses of action. Effective use of these methods also requires judgment about the quality of the evidence, the assumptions built into a model, and whether an analytical result makes sense in the business setting where it will be used. 

Business Analytics adds a focused quantitative perspective to the MBA. Rowan’s elective structure lets students build greater depth in process performance, quality, prediction, and optimization based on the kinds of business decisions and analytical problems they want to examine more closely. That analytical depth can complement work across finance, operations, marketing, supply chains, workforce planning, and other business functions where organizations must interpret evidence, evaluate alternatives, and make decisions under uncertainty.