Business Analytics Minor

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Program Description:

This minor will provide content knowledge in the field of Business Analytics.  This is a new discipline in business which encourages organizations to examine their existing stores of data to discern possible trends or patterns which heretofore have been hidden.  Moreover, today’s business analytics extends the work historically relegated to the area of data warehousing and data mining by including current–even up to the moment–data in the analysis.

Admission requirements:

To be admitted in the Business Analytics Minor, students must meet the following qualifications:

• Obtained a grade of “C” or better in MIS 3000;
• Meet the individual prerequisites of each elective course selected.

Students who do not have an undergraduate degree in Business Administration may still apply for and complete the minor, but may be required to complete the prerequisites to the courses chosen in the minor at the discretion of the certificate admissions committee.

Program Learning Outcomes:

The minor will provide students with the skills necessary to:

• Identify data sources and types of data necessary for the business problem or opportunity,
• Gather data from different sources using manual, scripted, or crawler methods; match and synthesize data; and develop data models,
• Manage (i.e., create, load, and query) databases and data warehouses,
• Prepare data for visualization
• Visualize data to identify patterns and trends
• Justify why visualization is an important part of data analysis
• Discuss the type of data impacts the type of visualization
• Analyze data to enable insights for business decision-making, and
• Effectively communicate the and tell the outcome and stories in the data

For more information visit:

• Business Analytics Minor
• Department of Information Systems and Suppy Chain Management
• Raj Soin College of Business

Program Requirements:

• MIS 3000 - Fundamentals of Information Systems Credit Hour(s): 3
• MIS 3810 - Introduction to Business Data Credit Hour(s): 3
• MIS 3820 - Data Mining for Business Credit Hour(s): 3
• MIS 3840 - Data Visualization for Business Credit Hour(s): 3

Electives:

• EC 3170 - Intermediate Macroeconomics Credit Hour(s): 3
• EC 4090 - Introduction to Econometrics Credit Hour(s): 3
• EC 4120 - Economic Forecasting Credit Hour(s): 3
• EC 4440 - Problems in Economic Development Credit Hour(s): 3
• FIN 3220 - Introduction to Quantitative Finance Credit Hour(s): 3
• MIS 4300 - Business Analytics Credit Hour(s): 3
• MIS 4600 - Geographic Information Systems for Business Credit Hour(s): 3
• MIS 4700 - Data Science for Business Applications Credit Hour(s): 3
• MKT 3500 - Marketing Research and Decision Making Credit Hour(s): 3
• MKT 4100 - Digital Marketing Credit Hour(s): 3
• MKT 4650 - Marketing Analytics Credit Hour(s): 3
• MKT 4670 - Marketing Analytics: Tools and Insights Credit Hour(s): 3
• MKT 4690 - Marketing Analytics: Big Data and Predictions Credit Hour(s): 3
• SCM 4250 - Supply Chain Information Management Credit Hour(s): 3

Total: 18 Hours