A concentration in Business Analytics develops student creativity and helps students develop a good understanding of analytical tools and techniques to define important business problems and to derive insight from the data needed to solve the problems they analyze.
Students pursuing a concentration in Business Analytics should complete nine credit hours (three courses) from the following electives. Students should select at least one course from each category below.
Tools for Business Analytics
These courses will help a student understand the methodologies and challenges related to analyzing business data and applying analytics techniques.
Explore software infrastructure of the firm. How does that infrastructure support the business' processes? Includes an ERP simulation game. Effective management of technology to gain competitive advantage. Involves use of SAP.
Learn project management concepts and understand tools of project selection, planning and tracking. Understand special considerations for managing projects with outsourcing/offshoring settings. Investigate new technologies related to project management. Understand how to use Microsoft Project and other tools to manage projects.
Understand the principles and practical elements of BI and analytics by comparing different approaches and analyzing emerging trends. Build a solid BI and analytics architecture and roadmap. Relate BI and analytics to data warehousing, ERP, CRM, and e-commerce. Understand potential ethical dilemmas related to applications of BI.
This course teaches the scientific process of transforming data into insights for making better business decisions. It covers the methodologies, algorithms, issues, and challenges related to analyzing business data. It will illustrate the processes of big data analytics by allowing students to apply business analytics algorithms and methodologies to real-world business datasets from finance, marketing, and operations.
Applications of Business Analytics
These courses focus on the applications of analytics to problems in finance, marketing, and operations.
Learn the skills to translate management problems into marketing research problems. Gain the ability to analyze problems systematically. Develop critical eyes for marketing research and understand its contributions and limitations. Gain a working “hands-on” experience with the full process of marketing research.
Introduces spreadsheet-based modeling methods for maximizing a firm's profit and forecasting customer demands. Understand pricing of constrained capacity, overbooking policies, price optimization, and customer segmentation for revenue maximization.
Big data has created numerous challenges in how to build private and public institutions to achieve the benefits of greater information flows while managing the risks to personal privacy and cybersecurity. This course seeks to equip students to understand the multiple perspectives relevant to managing privacy in an organization, both for private-sector companies and for government.
This course is designed to provide the tools to forecast in an uncertain business environment. It will be a careful, thorough introduction to elements of forecasting with attention not only to the mechanisms of forecasting, but also to the assumptions and pitfalls of forecasting.
Learn proven concepts, techniques, and frameworks for assessing and formulating pricing strategies. Establish a foundation for effective pricing decisions by understanding key economic, analytical, and behavioral concepts associated with costs, competitive behavior, and customer behavior. Learn to create additional value with advanced pricing techniques including dynamic pricing, segmented pricing, pricing structures, and promotions.