Master of Science in Business Analytics and AI (MSBA)

MSBA 515. Preparing for MSBA and AI Success. 1 Credit Hour.

This course is designed to provide entering MSBA and AI students with the skills necessary to be successful in a graduate business analytics program. Spanning two full days, it focuses on foundational knowledge in statistics, programming, data visualization, and communication. Moreover, the course offers insights into program expectations and introduces students to the available computing resources.

MSBA 610. Time Series Analysis and Optimization for Business Decisions. 3 Credit Hours.

In this course, students will become familiar with modern data analytics methods to understand, analyze, and suggest solutions to business problems. Specifically, this course will provide an overview of time series, forecasting, and optimization techniques. This course will introduce students to a general class of models that can be used to represent time series data and investigate common time series modeling and forecasting methodologies. In addition, students will be introduced to optimization techniques including linear and non-linear programming methods. The course will equip students with a sound foundation in model building for a variety of business decision-making applications. In particular, this hands-on-the-data course offers an introduction to quantitative methods and prepares students to turn real-world problems into mathematical models. The application areas are diverse and originate from problems in finance, government, marketing, transportation, management, accounting, human resources, and healthcare.
Session Cycle: Summer Term 1
Yearly Cycle: Yearly.

MSBA 620. Marketing Analytics. 3 Credit Hours.

This course will provide students with an introduction to marketing analytics. Students will study various tools for generating marketing insights from empirical data in such areas as segmentation, targeting and positioning, satisfaction management, customer lifetime analysis, customer choice, and product and price decisions using conjoint analysis. Students will apply the tools such as Excel, R, and Tableau studied to actual marketing business situations. Students will have hands-on experience of data analysis.
Pre/Corequisites: ISA 510
Session Cycle: Spring
Yearly Cycle: Yearly.

MSBA 630. Business Strategy and Analysis. 3 Credit Hours.

This course explores the role of analytics and business intelligence in an organization’s evaluation of the strategic environment, the application of strategic frameworks to formulate a strategy, and the implementation of that strategy. The course will give students a thorough understanding of the interplay between analytics and strategic considerations in an organization. More specifically, students will learn the practical application of analytics to formulate an organization's strategy and reversely the influence of the organization's strategy to the nature of the analytics within the organization.

MSBA 640. Business Analytics and AI Capstone. 3 Credit Hours.

The Capstone course provides students with an opportunity to apply their acquired knowledge and skills to real-world problems involving large datasets. The course centers on a project based on data from a Bryant University business partner, who will provide real data and define a typical decision problem solvable through data analysis. Students will present their findings and recommendations to the class and, when appropriate, to the client. They are expected to create and confidently deliver a professional presentation of their work. The project will involve developing multiple AI and/or predictive models using Python, applying predictive modeling techniques learned in prior courses. The class will review these techniques before beginning model development.
Prerequisites: ISA 530
Session Cycle: Summer Term 2
Yearly Cycle: Yearly.