BANA 370, INTRODUCTION TO BUSINESS ANALYTICS, 4 Credits

How organizations can successfully collect, evaluate and apply information for better decision making. Emerging technologies such as transaction processing systems, RFID, weblogs, social networks, website usage, and online communities have the potential to reveal market trends, suppliers' preferences, and competitors' next moves. The success of an organization largely depends on its ability to take advantage of those data sets that are already available to it. Starts with basic IT strategy concepts for the identification of the opportunities for BI solutions, and ends with hands-on experience using Business Intelligence tools to implement such solutions.

Equivalent to: BA 481, BA 483

Available via Ecampus

BANA 450, INTRODUCTION TO SPORTS ANALYTICS, 2 Credits

Introduces the applications of data analytics across all functional areas of sport business, including marketing, event management, human resource management, finance, facility operation, legal services, etc. Explains how data can be applied to improve the decision outcomes and operation performance in talent identification, team performance management, ticket sales, and risk management.

Prerequisite: BA 350 with C- or better

Equivalent to: BA 450

Available via Ecampus

BANA 470, DATA MANAGEMENT, 3 Credits

Familiarize students with the major activities involved in collecting and managing data for a data analytics project, including extracting information from relational databases, mapping organizational requirements into a data design, transforming data into information, and exploring basic concepts underlying noSQL data management and analysis methods.

Prerequisite: BA 481 with C- or better or BA 483 with C- or better or BANA 370 with C- or better

Equivalent to: BA 474

Available via Ecampus

BANA 471, DATA EXPLORATION AND VISUALIZATION, 3 Credits

Explores and visualizes data in business analytics projects. Focuses on exploring and wrangling data to discover interesting analysis questions and prepare for other analytics activities. Pays special attention to data visualization methods and their overall place in data science and business analytics.

Prerequisite: BA 481 with C- or better or BA 483 with C- or better or BANA 370 with C- or better

Equivalent to: BA 475

Available via Ecampus

BANA 472, DATA AND TEXT MINING, 3 Credits

Examines how data/text analysis technologies can be used to improve decision making. Covers the fundamental principles and techniques of data mining, text analysis, and uses real-world examples and cases to place data-mining techniques in context. Provides hands-on experience with data/text mining software.

Prerequisite: (BA 474 with C- or better or BANA 470 with C- or better) and (BA 475 [C-] or BANA 471 [C-])

Equivalent to: BA 476

Available via Ecampus

BANA 560, DATA ANALYTICS FOR COMPETITIVE ADVANTAGE, 3 Credits

Case studies, hands-on data analysis experience, and a class project will introduce basic concepts of data analytics, sketch the lifecycle of a data analytics project, and connect analytics to business consequences. Use representative analytic tools to support decision making.

Equivalent to: BA 573

Available via Ecampus

BANA 570, DATA MANAGEMENT, 3 Credits

Familiarize students with the major activities involved in collecting and managing data for a data analytics project, including extracting information from relational databases, mapping organizational requirements into a data design, transforming data into information, and exploring basic concepts underlying noSQL data management and analysis methods.

Prerequisite: BA 573 with C or better or BANA 560 with C or better

Equivalent to: BA 574

Available via Ecampus

BANA 571, DATA EXPLORATION AND VISUALIZATION, 3 Credits

Explores and visualizes data in business analytics projects. Focuses on exploring and wrangling data to discover interesting analysis questions and prepare for other analytics activities. Pays special attention to data visualization methods and their overall place in data science and business analytics.

Prerequisite: BA 573 with C or better or BANA 560 with C or better

Equivalent to: BA 575

Available via Ecampus

BANA 572, DATA AND TEXT MINING, 3 Credits

Examines how data/text analysis technologies can be used to improve decision making. Covers the fundamental principles and techniques of data mining, text analysis, and uses real-world examples and cases to place data-mining techniques in context. Provides hands-on experience with data/text mining software.

Prerequisite: (BA 574 with C or better or BANA 570 with C or better) and (BA 575 [C] or BANA 571 [C])

Equivalent to: BA 576

Available via Ecampus

BANA 577, INTEGRATED BUSINESS ANALYTICS PROJECT, 3 Credits

Integrates what students have learned to solve industry-sponsored problems. Provides opportunities to design, implement, and evaluate analytic solutions for a real-world enterprise. Student teams examine the data requirements, technical requirements, and organizational requirements necessary for the success of analytical solutions. Gives students the experience of leading and managing an analytical team, much as a Chief Analytics Officer (CAO) would be expected to do.

Prerequisite: BA 555 with C or better and (BA 574 [C] or BANA 570 [C]) and (BA 575 [C] or BANA 571 [C])

Equivalent to: BA 577

Available via Ecampus