This course provides an introduction into the effective use of business intelligence software and engages the student with agile approaches to data warehousing, the intelligence life cycle and architecture. Students will analyze and present the case for the use of business intelligence from an ethical and entrepreneurial point of view.

This course provides students with the fundamental knowledge required to effectively handle data, utilize spreadsheet and database modeling and apply computational analysis to support business decision making. Students will utilize common software pacakages, such as Excel and Access, to produce actionable business intelligence using the relevant statistical techniques.

This course provides students with the skills necessary to effectively mine numeric and textual data, to discover their patterns, through an introduction to programming languages to cluster their analysis of such findings and to produce a data mining project that addresses a modern business context.

This course is aimed at practical work experience in data analytics. Students will have opportunities to apply classroom knowledge to business world situations. Students will acquire and document professional field experience and will receive 1 credit hour for every 40 hours of verified work.

This course is aimed at practical work experience in data analytics. Students will have opportunities to apply classroom knowledge to business world situations. Students will acquire and document professional field experience and will receive 1 credit hour for every 40 hours of verified work.

This course provides students with the skills necessary to develop reasonable solutions to business problems through the application of commonly used business programming languages and how they inform database design and applications.

This course equips students to apply analytical tools to build data models using the relevant statistical software in order to produce strategic business inelligence. Students will utilize standard statistical findings that improve decision-making that account for incentive structures which lead to outcomes for customers and businesses that are mutually beneficial.

This course focuses on emerging trends in business data analytics and visualization. Students will be introduced to recent developments in the field of data analysis and explore industry impacts.