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?
An MBA Concentration in Business Analytics is an ideal option for those who want a career that builds upon their problem-solving strengths and decision-making skills through the use of data analysis, statistical models, and other quantitative methods.
Explore business performance through four types of analytics: descriptive, diagnostic, predictive, and prescriptive and learn how to effectively improve business performance through this analysis.
Data collection techniques have exploded. Learn how to take data and transform it into actionable insights and successful and innovative business strategies.
Business analytics are used in nearly all industries, including health care, nonprofit, government, financial services, retail, transportation, and legal services. Business analytics skills are in demand internationally across all industries. Career goals might include positions such as:
- Business analyst;
- Data analyst;
- Financial analyst;
- Marketing analyst; and
- Operations analyst.
Long-term career goals might include strategic planner, expert business consultant, chief data officer, and much more.
Business Analytics Concentration Coursework
Learn to analyze and interpret numerical data and qualitative information to critically explore and investigate past business performances, to gain insights that drive future decision-making and planning for improved performance. Areas of focus include optimizing processes, statistical forecasting techniques, and alternative decision-making.
Rowan MBA students select 3 courses, or 9 credits, from the courses below to satisfy pursuit of a Business Analytics Concentration.
MBA Students have the potential to choose their electives from the three classes listed below, depending on their interests and goals and the flexibility and space available in their individual course of study. Contact an academic advisor from the Graduate Business Studies office at graduatebusinessstudies@rowan.edu if interested in adding any of these classes to your course schedule.
Click on the course titles to review the descriptions.
Coursework—Course Codes, Titles and Descriptions
MGT 06603 - Process Analytics
MGT 06603 - Process Analytics (3 credits)
- 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.
MGT 07500 - Prescriptive Analytics
MGT 07500 - Prescriptive Analytics (3 credits)
- 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 health care 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 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.
MGT 07510 - Quality Analytics
MGT 07510 - Quality Analytics (3 credits)
- This course builds a thorough understanding of how our processes and products can be continually improved through organization-wide quality management. The course will cover customers, outputs, processes, inputs, stake and stock holders, and decision-making functions as they relate to enhancing the vitality of organizations to make them customer focused. The focus is on developing and implementing "soft" and "hard" tools to deliver the "best net value" to customers. In this course, students will investigate the aspects of forming organizational alliances and consensus thinking; deriving functional synergies; using quality analytics such as Six Sigma, Design of Experiment, Control Charts, etc.; developing customer orientation, facilitating teamwork, and getting a real-world perspective.
MGT 07600 - Predictive Analytics
MGT 07600 - Predictive Analytics (3 credits)
- This course is designed to acquaint the graduate student with 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.
