The purpose of the Graduate Business Analytics Certificate program is to achieve three objectives: Prepare students to (1) participate in and promote the progression from data and assumptions to information (descriptive methods), (2) to apply knowledge and understanding of how tools and methods can be used to support decision making (predictive methods), and (3) ultimately to document and communicate findings that lead to decisions and plans for implementation (prescriptive methods). Basic elements of the journey have long existed, but it is the integration of these objectives that defines business analytics here in the School of Business.

The certificate prepares students to use analytics for making decisions with a business mindset—seeking answers to questions in order to define the problem, gather necessary data, convert those data to decisions, arrive at and support a business‐appropriate answer, and successfully communicate that answer in a form appropriate to the audience. By combining analytics with business knowledge, we prepare our students to function successfully in the data‐rich business environment. Business students understand how business operates, how to communicate successfully with others in business, and are familiar with the concept of business goals and objectives. This business perspective is central to the design and differentiation of our certificate. 

Only MBA, M.S. and M.Acc. students in the School of Business are eligible for this certificate. A student must discuss the certificate requirements with program directors and/or the certificate directors before declaring with the form at the certificate website.

GEN BUS 704 Data to Decisions2-3
or GEN BUS 307 Business Analytics II
One course in the area of “Analytics Tools & Methods”
One course in the area of “Analytic Steps”
One additional course from “Analytic Tools & Methods” or “Analytic Steps” that is outside the School of Business department housing the student’s program.

Analytics Tools & Methods

ACT SCI 654 Regression and Time Series for Actuaries3
ACT SCI 655 Health Analytics3
MARKETNG 815 Marketing Analytics3
OTM 442 Database Management and Applications3
OTM 765 Contemporary Topics (Supply Chain Analytics )1-4
R M I 660 Risk Analytics and Behavioral Science3

Analytic Steps

FINANCE 635 Security Analysis3
M H R 765 Contemporary Topics (People Analytics)1-4
MARKETNG 710 Marketing Research3
MARKETNG 727 Enterprise Systems and Supply Chain Management3
OTM 752 Project Management3
R M I 655 Risk Financing Techniques3

1. Apply analytic tools to prepare, manage, and analyze data for projects (DESCRIPTIVE)

2. Apply analytical tools and methods to both model business issues and appropriately assess and analyze model output (PREDICTIVE)

3. Design and manage data analysis, interpret results, and communicate answers and/or recommendations to support decision making (PRESCRIPTIVE)

Don Hausch, Faculty Director
James Morris
Erwan Quintin
Joan Schmit
Enno Siemsen