BANA 004, INTERNSHIP, 0 Credits

Provides basic personal and professional skills that can be used within and outside of a work setting. Through practice, this experience guides students in building and maintaining positive professional relationships, networking/mentoring relationships, and enhances students’ understanding of the connection between theory and practice in their respective disciplines.

BANA 270, INTRODUCTION TO BUSINESS ANALYTICS AND ARTIFICIAL INTELLIGENCE, 4 Credits

Applies analytical and artificial intelligence methods for better organizational decision making. Applies computational methods over large amount of data to gain competitive advantage. Covers basic IT strategy concepts for the identification of the opportunities for analytical/AI solutions. Introduces various machine learning methods with hands-on experience using software package to implement such solutions. Provides link between computational methods and typical issues in various aspects of organizations, including customer relationship management, internet marketing, supply chain management, information security, and human resource management.

Equivalent to: BA 481

Available via Ecampus

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. NO LONGER TAUGHT. REPLACED WITH BANA 270.

Equivalent to: BA 481, BA 483

Available via Ecampus

BANA 371, 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 No Structured Query Language (NoSQL) data management and analysis methods.

Prerequisite: BANA 270 with C- or better or BANA 370 with C- or better

Equivalent to: BA 474, BANA 470

BANA 372, 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: BANA 270 with C- or better or BANA 370 with C- or better

Equivalent to: BA 475, BANA 471

BANA 410, INTERNSHIP, 1-12 Credits

This course is repeatable for 16 credits.

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 472, MACHINE LEARNING AND TEXT MINING FOR BUSINESS, 3 Credits

Examines how machine learning (ML) and natural language processing (NLP) technologies can be used to improve decision-making. Covers the fundamental principles and techniques of ML, NLP, and uses real-world examples and cases to place ML and NLP techniques in context. Provides hands-on experience with ML and NLP software.

Prerequisite: (BANA 371 with C- or better or BANA 470 with C- or better or BA 474 with C- or better) and (BANA 372 [C-] or BANA 471 [C-] or BA 475 [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, MACHINE LEARNING AND TEXT MINING FOR BUSINESS, 3 Credits

Examines how machine learning (ML) and natural language processing (NLP) technologies can be used to improve decision-making. Covers the fundamental principles and techniques of ML, NLP, and uses real-world examples and cases to place ML and NLP techniques in context. Provides hands-on experience with ML and NLP software.

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

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