M.S. in Business Analytics Curriculum

The STEM-designated full-time M.S. in business analytics program is a 36-credit hour program. Through hands-on coursework students hone their decision-making skills and learn to use analytic tools to drive positive outcomes for businesses.


                                                                                                      Business Analytics Courses
Curriculum Outline:


Required Courses Analytics Core

 (6 credits – Both courses required)

• Data Analysis & Decision Making

• Business Analytics


Analytics Applications Core

 (6 credits - select 2)

• Accounting Analytics

• Marketing Analytics

• Financial Analytics

• Principles of Management Science


Analytics Depth Core 

(6 credits - select 2 – can include any not already selected from Analytics Applications Core)

• Linear Statistical Models

• Time Series Modeling and Analysis

• Customer Relationship Management with SAP

• Applied Data Science

• Advanced Data Analytics

• Statistical Methods in Information Science and Technology

• Data Mining

• Basics of Information Retrieval Systems

• Information Visualization

• Data Warehouse

• Research Methods in Information Science and Technology

• Introduction to Database Management Systems

• Analytical Data Mining


    Analytics Electives

     (18 credits - 6 select courses – can include any not selected from Analytics Applications Core or Analytics Depth Core)

    • Data Base Administration Concepts & DB Mmgt.

    • Natural Language Processing

    • Object-oriented programming in C++

    • Introduction to Artificial Intelligence

    • Explorations in Computing & Programming

    • Artificial Neural Networks 

    • Software Engineering

    • Simulation and Modeling


    Additional Approved Graduate Business or Analytics Courses From Schools and Colleges at Syracuse University

    Students must pass a comprehensive exam at the end of the last semester of the program.