MSBAI (Business Analytics & AI)

Degrees and Certificates

Courses

MSA 8100: Intro to Business Analytics

Credits 3
Provides an overview of the business analytics process and important analytic techniques; data visualization, data mining, optimization, and simulation. Exposes students to a variety of business problems in analytics (marketing, finance, operations). Throughout the course, students will learn to model and analyze complex business decisions with various tools on spreadsheets to improve decision making across business functions.

MSA 8105: Programming with AI

Credits 3

Learn R and Python as programming languages assisted by AI, with emphasis on applications in business. Students will learn fundamentals of both languages and will be exposed to cutting edge packages and libraries to execute analytic tasks.

MSA 8110: Data Models & Struct Analysis

Credits 3
Covers the concepts and techniques used to analyze and report structured data. Students will learn tools and methods for understanding the data models supporting various business processes and for analyzing data from structured databases.

MSA 8220: Analytical Meth for Data Mng

Credits 3
The objective of this course is teaching students how to use various mining data techniques. Topics include logistic regression, decision tree networks, and neural networks. Student will mine datasets from various business areas and use their findings to support decision-making.

MSA 8225: LLMs and Text Analytics

Credits 3

This course teaches text analytics and how to transform unstructured text into useful information. Students learn the advantages and limitations of traditional text analytics, natural language processing, and AI large language models (LLM).

MSA 8240: Business Intelligence

Credits 3
This course provides students a chance to dive into critical optimization, probability, and simulation modeling techniques useful in today's business environment. Students will learn to model and analyze complex business decisions with various tools to improve decision-making across business functions.

MSA 8250: Decision Analytics & AI

Credits 3

This course applies predictive data mining, optimization, and simulation to business problems, building on MSA 8100. Students use advanced tools to model and improve decision-making in marketing, finance, and operations.

MSA 8260: Machine Lrng & AI App wPython

Credits 3
This course covers the use of machine learning algorithms in business decision making and the potential drawbacks and ethical challenges. A particular focus will be on preprocessing, coding and evaluation methodologies for deep learning.

MSA 8310: Advanced Business Applications

Credits 3
This course focuses on advanced applications in business. Case discussion will be used to expose students to diverse applications of analytics in organizations. Assignments include case discussion, problem solving, projects to further students' knowledge and skills.

MSA 8350: Analytics Practicum

Credits 3
In this capstone course, students will implement concepts and skills learned throughout the program to navigate the process of working with an organization on a business project. Lectures and assignments will help students obtain skills needed to support their client