Skip to main content

National College Credit Recommendation Service

Board of Regents  |  University of the State of New York

Coopersmith Career Consulting | Evaluated Learning Experience

Data Driven Decision-Making (BUS-503)


Varies (self-study, self-paced).

Various; distance learning format.

April 2024 - Present. 

Instructional delivery format: 
Online/distance learning
Learner Outcomes: 

Upon successful completion of the learning experience, students will be able to: apply statistical analysis techniques to solve problems and support management and strategic level decisions; apply effective communication techniques using data to support a solution to a real-world problem; interpret and analyze data to formulate and influence decision making; gather, analyze and interpret data and report findings; evaluate research to be utilized as evidence to support decision making; and formulate solutions that integrate applicable disciplines and their perspectives and contributions.


Data Driven Decision-Making is a graduate course that offers an interdisciplinary exploration of research methods, aiming to equip students with foundational knowledge in statistical theory and its practical application. Participants study the art of investigating contemporary issues and deciphering statistical data within the realms of criminal justice, business, and public administration, preparing them for leadership roles within their respective fields. Additional topics include varied perspectives of professionals across disciplines as they harness data for informed decision-making; utilization of data-driven insights. Students learn not only to analyze statistics but also advocate for decisions grounded in robust research and statistical analysis. Key topics encompass descriptive and inferential statistics, hypothesis testing, and the principles of linear regression. 

Credit recommendation: 

In the graduate degree category, 3 semester hours in Management, Finance, Economics, or Marketing (4/24).