Business Analytics (MSBA)

Program Overview

Business Analytics (MSBA)

Course Fees

Some courses may carry fees beyond the standard tuition costs to cover additional support or materials. Program-, subject- and course-specific fee information can be found on the Office of the Bursar website.

MSBA Courses

• MSBA 600. Master of Science in Business Analytics (0 Units)
  • Description: Master of Science in Business Analytics - billing course
• MSBA 605. Python for Analytics (3 Units)
  • Term Typically Offered: Fall, Spring
  • Prerequisite(s): Admission to MSBA degree program.
  • Description: This course introduces essential general programming concepts and techniques to a data analytics audience with no prior programming experience. Students will learn the aspects of programming that can support business analytics with hands on programming including accessing data, creating informative data graphics, writing functions, debugging, and organizing code.
• MSBA 610. Data Visualization with Power BI (1.5 Units)
  • Term Typically Offered: Fall, Spring
  • Prerequisite(s): Admission to MSBA degree program.
  • Description: Students will become well versed in ingesting data sources and selecting the appropriate visualization to unearth the underlying story within large data sets. Students will be utilizing Data Analysis Expressions, DAX, to create various formulas to help in analyzing multiple data sources.
• MSBA 615. R for Analytics (1.5 Units)
  • Term Typically Offered: Fall, Spring
  • Prerequisite(s): Admission to MSBA degree program.
  • Description: This course provides an intensive, hands-on introduction to the R programming language. The student will learn the fundamental skills required to acquire, mange, transform, manipulate, and visualize data in a computing environment that fosters reproducibility.
• MSBA 620. Statistical Foundations of Business Analytics (3 Units)
  • Term Typically Offered: Fall, Spring
  • Description: This course provides comprehensive understanding of analytical fundamentals. Students will learn business problems, the types of data required to address problems, and solution estimation.
• MSBA 625. Storytelling with Data (1.5 Units)
  • Term Typically Offered: Fall Only
  • Prerequisite(s): Admission to MSBA degree program.
  • Description: This course is a data visualization and business presentations course specifically designed for professionals in the field of business analytics.
• MSBA 630. Modern Data Management (3 Units)
  • Term Typically Offered: Fall, Spring
  • Prerequisite(s): Admission to MSBA degree program.
  • Description: This course provides an introduction to issues, principles, and technologies of modeling and using organizational data.
• MSBA 635. Predictive Analytics (3 Units)
  • Term Typically Offered: Fall, Spring
  • Description: This course builds on the MSBA 620 course by introducing more advanced topics in analytics.
• MSBA 640. Decision Models (3 Units)
  • Term Typically Offered: Spring Only
  • Description: This course trains students to turn real-world problems into mathematical and spreadsheet models and to use such models to make better managerial decisions.
• MSBA 645. Applied Machine Learning (3 Units)
  • Term Typically Offered: Fall, Spring
  • Description: Data mining draws on statistics, artificial intelligence and machine learning to discover novel, interesting and actionable relationships and patterns in large and complex data sets.
• MSBA 650. Advanced Analytical Tools (3 Units)
  • Term Typically Offered: Fall, Spring
  • Description: The course presents advance business analytics using R.
• MSBA 655. Special Topics: Marketing Analytics (1.5 Units)
  • Term Typically Offered: Spring Only
  • Description: The use and analysis of data to guide marketing decisions is the focus of this course.
• MSBA 680. Special Topics in Business Analytics (1.5-3 Units)
  • Term Typically Offered: Occasionally Offered
  • Prerequisite(s): Admitted to MSBA & achieved elective status.
  • Description: An advanced study of one or more selected topics or issues related to the study of business.
• MSBA 685. Analytics Internship (1 Unit)
  • Term Typically Offered: Spring Only
  • Description: The academic objective of the internship program in the Master of Science in Business Analytics program is to provide enrolled students with an opportunity for hands-on business experience where they can apply classroom knowledge in a real-world setting and bring the experiences gained during their internship employment into the classroom.
• MSBA 690. Analytics Capstone (3 Units)
  • Term Typically Offered: Spring Only
  • Description: Each student assists (as a team member) an organization in the Louisville area to improve some aspects of its business analytics operations.
• MSBA 691. Deep Learning (1.5 Units)
  • Term Typically Offered: Fall, Spring
  • Description: Deep learning is a branch of machine learning and AI which uses artificial neural networks to solve complex problems.
• MSBA 692. Pipelines to Insights (1.5 Units)
  • Term Typically Offered: Fall, Spring
  • Description: This module is project-based and designed to provide the students with applied knowledge of pipeline design in an agile context by fully immersing them in agile ceremonies in a business setting.
• MSBA 693. Advanced Analytics using PySpark (1.5 Units)
  • Term Typically Offered: Fall, Spring
  • Description: Most organizations use analytics to efficiently provide a better quality experience for their customers.
• MSBA 694. Natural Language Processing (1.5 Units)
  • Term Typically Offered: Fall, Spring
  • Description: In today's data-driven world, understanding the nuances of text data is becoming increasingly critical for decision-making processes in business.
• MSBA 695. Cloud Computing (1.5 Units)
  • Term Typically Offered: Fall, Spring
  • Description: This course explores the knowledge and technical aspects of cloud computing solutions across various industry domains.