MASTERS BUSINESS ANALYTICS (MSBA)

This course explores the application of current programming languages to platforms currently work to solve business problems and support business decisions.

A foundational course designed to equip students with a comprehensive understanding of business analytics fundamentals and select analytics technologies. Students will be introduced to standard data analytics process models and obtain hands-on experience with tools for preparing accurate and reliable data sets.

An introduction to the essential technologies used in business analytics, with a focus tools for data analysis, manipulation, and visualization. Students will gain foundational knowledge in programming and computational thinking, preparing them for advanced coursework. Through hands-on exercises and real-world examples, students will explore key concepts including data structures, functions, and libraries with an emphasis on data-driven decision-making in business contexts, enabling students to clean, analyze, and visualize data efficiently.

This course covers database management using SQL, data modeling, project life cycle, data normalization, warehousing and manipulation.

An exploration of technologies based to manage financial data flows, date analytics, and date requirements.

Database management using sql, data modeling, project life cycle, data normalization, warehousing and manipulation.

This course equips students with concepts, techniques and technologies to create descriptive analytics for data storytelling using the results of systematic and computational data analysis.

This covers non-linear regressions, logistic regression, time series regressions and forecasting. Students will learn to model relationships, predict outcomes, and assess the impact of variables on one another. Emphasis will be placed on practical applications, model selection, and performance evaluation, enabling students to effectively communicate findings and make informed strategic decisions.

This course uses statistical and modeling techniques to forecast future outcomes by analyzing current and historical data patterns to determine the likelihood of those patterns repeating.

This course teaches graduate students how to design marketing and employment surveys to maximize reliability and validity. It will teach students to use scales, demographics, and structures to maximize completion rates.

MSBA Special Topics