Business Data Analytics (BDA)

BDA 205 Introduction to Business Data Analytics 3 Credits

The primary objective of this course, as the introductory course in a business analytics sequence, is to familiarize students with business analytics and its value, application, and implications in various contexts. This course will utilize lectures, case studies, and guest speeches, and have a major hands-on component. The textbook and lectures will provide conceptual and theoretical knowledge about business analytics, and the students will be introduced in class to various tools and methods for analyzing and visualizing data. Case studies and guest speeches will expose the students to best practices as well as current and practical issues surrounding business analytics in today's organizations.

Prerequisite(s): CIS 185.

BDA 360 Optimization and Stimulation 3 Credits

This course is designed to provide undergraduate students with the current knowledge and practice of optimization and simulation in business analytics. Optimization is an area in business analytics that finds the optimal, or most efficient, way of using limited resources to achieve the objectives of an individual or a business. Simulation is a technique that measures and describes various characteristics of the bottom-line performance measure of a model when one or more values for the independent variables are uncertain. The main focus of this course will be on developing modeling skills by using Excel (and Analytic Solver add-on) to gain insights into a wide variety of business decision problems. First, they will learn how to analyze the problem and choose an appropriate optimization/simulation method. Next, they learn how to formulate the problem in a format that can be implemented in a spreadsheet. Then, they will be taught to use Excel with add-on to solve the problem. Once the results are obtained, the students will be trained to interpret them and conduct sensitivity analyses. Eventually, the students are required to make a recommendation to managers after considering some implementation issues.

Prerequisite(s): BDA 205- Introduction to Business Data Analytics.

BDA 398 Business Data Analytics Practicum 3 Credits

This course develops and sharpens the skills for a successful career in analytical business consulting, such are analysis, critical thinking, presentation, problem solving, and teamwork. This class will develop skills in each of these areas through discussion of the principles underlying best practices and feedbacks in a series of applied exercises and cases that will prepare students to obtain and succeed in analytical business consulting problems. The students will analyze the data provided by professionals from experts in the field, and they will present the project at the end of the semester.

Prerequisite(s): BDA 205; MSD 201 Statistical Methods II; Junior or Senior Standing; Completion of 12 credit hours in business analytics coursework or Permission of Instructor.