Business Analytics Certificate Requirements

Graduate Certificate in Business Analytics

Coursework (6 Classes / 18 Credit Hours)

BANA 6350: Quantitative Methods
BANA 6380: Data Management
BANA 6H15: Python Programming Concepts (1.5 credits)
BANA 6H30: R Programming Concepts (1.5 credits)
BANA 7320: Data Visualization
BANA 7350: Forecasting Methods 
BANA 7380: Applied Business Analytics

Business Analytics Course Descriptions

 

BANA 6350: Quantitative Methods

Course covers traditional management science / operations research concepts, models and methods that are employed to make better, objective, verifiable, communicable, and more informed decisions for problems routinely encountered in business by decision makers. Emphasis is on application, interpretation, and use of results to make better decisions for planning and operations. Prerequisites: TECH 5F70 and BUAD 6300 Business Analytics

BANA 6380: Data Management

This course provides a comprehensive overview of the business-analytics project lifecycle. It discusses understanding the problem, identifying the appropriate data, retrieving, preparing, and exploring the data, applying a set of candidate analytics techniques, selecting the most appropriate technique, and communicating the results into actionable business recommendations. Prerequisites: BUAD 6300, BANA 6350

 BANA 6H15: Python Programming Concepts

Introduces the student to programming in Python. Upon completion of this class, the student will be able to write non-trivial programs using Python for data processing and model deployment. Topics include language components, control flow constructs, strings, input/output, classes, packages, matrix expressions. The course includes hands-on labs requiring students to bring a PC to class.

BANA 6H30: R Programming Concepts

Introduces the student to programming in R. Upon completion of this class, the student will be able to write non-trivial programs using R for data processing and model deployment. Topics include language components, control flow constructs, strings, input/output, classes, packages, matrix expressions. The course includes hands-on labs requiring students to bring a PC to class.

BANA 7320: Data Visualization

This course addresses techniques for exploring and visualizing large datasets to address business problems. This includes extracting relevant data from multiple sources, processing data using Structured Query Language (SQL), transforming transactions or event data, using non-numeric data, controlling degrees of freedom, and managing exceptions and extremes. Practices related to pattern discovery (segmentation, association, and sequence analyses), and building actionable business reports using visual analytics tools are discussed. Prerequisites: BUAD 6300, BANA 6350

BANA 7350: Forecasting Methods

This course addresses tools and techniques required for analyzing business data for forecasting. Topics include time series analysis and time series forecasting. Students will learn to apply these techniques to support business decision makers. Prerequisite: BANA 6H30. Co-requisite: BANA 6350

BANA 7380: Applied Business Analytics

This course addresses applying association, predictive, and visualization techniques to address problems in business contexts. Topics include selecting appropriate analysis techniques, creating preliminary scorecards, inference techniques, determining scorecard performance, and communicating results. The business contexts addressed include marketing, supply chain management, IT management, and cybersecurity. Prerequisite: BANA 6380

 

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