College of Business students can complete the business analytics co-major in just three semesters.
This co-major is designed to help students develop:
1. Critical thinking skills and curiosity
2. Technical skills in descriptive, predictive, and prescriptive analytics
3. Understanding and ability to select and use appropriate software tools and analytics techniques to gain business insight
4. Ability to create, organize, clean, and transform data to be utilized in evidence based business decision-making and actionable business insights
5. Ability to use advanced visualization tools and techniques to communicate insight from data
6. Ability to evaluate organizational strategic use of analytics
Required Business Analytics Courses:
MIS 2800 - Business Intelligence and Information Management
Provides an introduction to database terminology, design, development, the querying of databases, Business Intelligence and the management of information in order to solve complex business problems. Topics include the relational model, database normalization, basic and complex database design, implementing a SQL database, basic and advanced SQL queries and subqueries, business intelligence concepts, data mart and data warehouse technologies, data mining, the use of scorecards, dashboards and reports, and dimensions, key performance indicators(KPIs), and cubes.
Requisites: QBA 1720 or MIS 2010 or MIS 2011
MIS 4580 - Advanced Database Applications
Builds on the concepts learned in MIS 2800. There is no such thing as "big data", just "all data", Integration, manipulation, and processing of complex structured and unstructured data create barriers for businesses looking to gain insight from their data. We will work with the data modeling, processing, and computation techniques to remove these barriers. Utilizing software commonly used to process "all data," students will understand how to address the volume, velocity, and variety of data that businesses face to today.
Requisites: MIS 2800
QBA 3720 - Predictive Analytics
Modern businesses can benefit by analyzing information stored within datasets. Predictive analytics is a form of analysis that aims to discover trends or patterns within datasets. The mathematical relationships that are found are used to make proactive, future-based, data-driven decisions. Predictive analytics is an important field of study because techniques that are used can find complex relationships that experts overlook, or may not know at the time of the analysis. This course covers a variety of predictive analytics techniques and theories from the viewpoint of various business applications. To achieve the course learning objectives, students utilize major software tools that are commonly used in business to develop, test, and apply continuous, classification and clustering models.
Requisites: QBA 2720 or QBA 3710
QBA 4720 - Prescriptive Analytics
Prescriptive analytics uses multiple techniques that recommend which course of action a decision maker should take within a business environment. The goal is to utilize these techniques to determine optimal strategies that can improve the results related to business decisions. In this course, students will be introduced to concepts related to developing various linear and non-linear models within major software tools that are commonly used by business professionals. Students will conduct an analysis of assignment, transportation, and network models as well as investigate other business scenarios that require additional theories such as integer and goal programing. In addition, students will develop simulation models and utilize decision analysis strategies for conditions of uncertainty.
Requisites: QBA 2720 or QBA 3710
MKT 4700 - Marketplace Analytics
Course provides opportunities to understand the use of data and analytics tools, processes, and techniques for the purposes of generating knowledge, developing business intelligence, and improving managerial decision-making within the context of factors associated with the marketplace.
Requisites: MKT 2400 and MIS 4580 and QBA 3720