Program type:


On Campus
Est. time to complete:

2-3 semesters
Credit Hours:

Add to your education with a minor in Business Analytics and learn more about data-driven decision making.
Get a better understanding of business fundamentals and the in-depth knowledge of statistical analysis and modeling methods, tools and techniques to help convert data into actionable insights.

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Why Earn a Business Analytics Minor?

Your Business Analytics professional field courses will focus on:

  • Data management
  • Data mining
  • Data modeling
  • Data visualization
  • Data warehousing
  • Fundamentals of data analytics and model building tools and technologies
  • Fundamentals of economics, accounting, finance, marketing and management
  • Statistical data analysis

You will become familiar with a variety of business analytical tools and software packages. You'll also learn about applications of business analytics in specific fields, such as logistics, marketing or business computer information systems by taking supporting courses in the corresponding areas.

Marketable Skills


Business Analytics Minor Courses You Could Take

Analytics for Decision Making (3 hrs)
Study of the analytics that underlie the process of decision making and the information requirements of decisions; decision support tool selection, process improvement and applications development.
Enterprise Applications of Business Intelligence/Analytics (3 hrs)
Current issues in the utilization of business intelligence/analytics (BI/A) in organizations. Topics include the concepts, methodologies and tools to efficiently and effectively implement BI/A endeavors. The focus is on understanding how BI/A is needed and used in organizations today and understanding how to resolve the often conflicting variety of BI/A offerings.
Modeling for Business Intelligence (3 hrs)
How modeling for business intelligence systems can be utilized as a key element within a managerial decision process. Attention is paid to how and why such a model is used in a BI support system environment.
Introduction to Data Warehousing (3 hrs)
Investigates model-based approaches to the design of data warehouses. Examines their critical role in decision systems for business and industry.
Management Science (3 hrs)Introduction to operations research for business decision making. Spreadsheet methods are used to evaluate the following
deterministic models, allocation problems, linear programming, sequencing and scheduling and network models.
Introduction to Data Mining (3 hrs)
Knowledge discovery in large databases, using data mining tools and techniques. Topics include data exploration, modeling and model evaluation. Decision making in a case-embedded business environment is emphasized.

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