Master of Science in Business Analytics

Batterman School of Business and Haab School of Business Mission

The Batterman and Haab Schools of Business embolden a global network of transformational and collaborative Christian leaders, dedicated faculty, entrepreneurial students, and active alumni who come together to create maximum social impact through ethical practice, innovation and service.

Program Mission Statement

The Master of Science in Business Analytics program will prepare business professionals to effectively analyze business data and successfully present information to inform strategic decision-making. The curriculum requires students to evaluate the value of business analytics and the ethical use of data through a Christian lens and consider bias/fairness issues when analyzing data for real-world applications.

Program Overview

This program focuses on applied business analytics, rather than a purely data analytics focus. The addition of concentrations allows students to apply analytics concepts to their chosen area of expertise. This will culminate in the final capstone course where students will work on a large analytics project in their area of expertise. This program is different than our undergraduate program, in that there is less of a focus on programming, coding, and database applications (those are covered in one overview course in the graduate program instead of several in depth courses in the undergraduate program) and more of a focus on applying the analytics skills to business decisions. This program is geared towards the ‘front end’ users of data, rather than the ‘back end’ collectors of the data.

Program Prerequisites

Students may enter the program with any bachelor's degree. However, applicants who have a bachelor's degree in an area outside of business-related fields will be required to take BUS 5005 Business Foundations (3 credits) as a program prerequisite. International students are also required to take BUS 5000 - Graduate School Success as a program prerequisite.

Program Learning Outcomes

Students will:

Evaluate the value of business analytics and the ethical use of data through a Christian lens;
Consider bias/fairness issues when analyzing data for real-world applications in the digital economy;
Integrate information from their selected concentration into data analysis projects;
Use statistical inference concepts and the visualization of data to defend interpretations and conclusions;
Apply the Business Analytics framework (OSEMIn) for Obtaining, Scrubbing, Exploring, Modeling and Interpreting data to answer business questions;
Create presentations that articulate assumptions, analyses, and interpretations of data in a written and oral presentation;
Analyze data using relevant software and techniques.