Business Analytics Certificate

Program Description

This certificate will provide content knowledge in the field of business analytics. This is a new discipline in business that encourages organizations to examine their existing stores of data to discern possible trends or patterns which have been previously 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

The business analytics certificate will be offered on a non-degree basis to interested participants who are currently enrolled in or have completed an AACSB-accredited undergraduate degree in Business Administration (or equivalent).

Students who do not have an undergraduate degree in Business Administration may be required to complete the prerequisites to the courses chosen in the certificate program.

Program Learning Outcomes

The certificate 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
Effectively communicate the and tell the outcome and stories in the data

For More Information

Program Requirements:

Required Courses:

MIS 3810 - Introduction to Business Data Credit Hour(s): 3
MIS 3840 - Data Visualization for Business Credit Hour(s): 3

Electives:

Choose any two of the following (6 credits total):

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 3820 - Data Mining for Business 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