Master of Science in Business Analytics and Data Science

This Master of Science program in Business Analytics and Data Science is designed to equip students with the skills needed for careers in the rapidly growing field of data analytics. You will learn to gather, store, analyze, and interpret large datasets to support informed business decision-making. The program allows for specialization in areas like finance, marketing, logistics, and accounting, and its curriculum aligns with the Certified Analytics Professional (CAP) exam content.

Curriculum

The program requires 33 credit hours. Students without a prior business or related degree may need to complete the 9-credit BUSI 599 Graduate Business Essentials prerequisite. The core curriculum includes courses in Introduction to Business Analytics and Data Science, Programming for Business, Statistical and Mathematical Methods for Data Science, Machine Learning for Business I, Data Management, Experimental Design, Data Visualization and Communication, and Time Series Modeling. The program also includes 6 credits of electives and a 3-credit Capstone Project.

1. First Year
   • Introduction to Business Analytics and Data ScienceFINC 514
   • Programming for BusinessFINC 515
   • Statistical and Mathematical Methods for Data ScienceFINC 520
   • Machine Learning for Business IFINC 530
   • Data ManagementFINC 535
   • Time Series Modeling and Experimental DesignFINC 565
   • Experimental DesignFINC 550
   • Data Visualization and CommunicationFINC 560
   • Elective course
2. Second Year
   • Elective Course
   • Capstone Project in Data ScienceFINC 781