Master of Business Administration: Business Analytics
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.
Concentration Details
Requirement: 9 credits; select 9 credits from approved Business Analytics courses. For the STEM MBA, select 9 credits from the STEM-designated options. The approved courses bring different analytical approaches to managerial questions: process performance, quality, optimization, and likely outcomes. Students can combine three of these perspectives based on the kinds of business decisions and analytical problems most relevant to their work.
Concentration courses may also be taken as graduate business electives when students satisfy any listed Foundations and prerequisites.
*STEM-designated course. For degree-level requirements, see the STEM MBA.
Course Details
MGT 06603 – Process Analytics (STEM*)
This course introduces the fundamental Lean Six Sigma principles that underlay modern continuous improvement approaches for industry, government and other organizations. Process analytics introduces a different domain of quantitative analytics in understanding, improving, and creating processes, and it is critical for managers and business professionals to use the knowledge and tools to create competitive advantage. This course covers fundamental and applied knowledge on process analytics - including process data acquisition, analysis, matching and models in modern process analytics.
Foundations: Calculus, Operations Management, Statistics.
MGT 07500 – Prescriptive Analytics (STEM*)
Students in this course will learn knowledge and methods for prescriptive analytics that include optimization, decision-analysis, and simulation. These techniques and knowledge can be applied not only to improvement of operations but also healthcare and service industries. Prescriptive analytics is essential in guiding managers and business professionals to understand current and future situations and to derive concrete decision alternatives from the business data. Using a fundamental and applied methods in prescriptive analytics, the course charts a course for moving forward on the horizon of the immediate and long-term future.
Foundations: Calculus, Operations Management, Statistics.
MGT 07510 – Quality Analytics (STEM*)
MGT 07600 – Predictive Analytics (STEM*)
This course is designed to acquaint the graduate student with the advanced statistical forecasting techniques. Upon completion of the course, the student should be able to identify a forecasting problem, gather data and use computerized statistical packages to obtain solutions, analyze results, determine the validity and reliability of the model, and if necessary, recommend alternative methods to solve the model. This course may not be offered annually.
Foundations: Calculus, Operations Management, Statistics.