Menu 

Stern Holds Biz Analytics Exec Ed Course

The next business analytics and marketing short course at NYU Stern School of Business will be held Feb. 19 through Feb. 20, 2015. This course is titled, Business Analytics: Inside Out in Two Days. The cost of this program is $3,600.

Business analytics is defined as the intersection of business and technology. Individuals with strong quantitative backgrounds can acquire business analytics skills as well as effective tools to communicate and visualize the results throughout their companies.

The course features a curriculum that will supply participants with the knowledge to understand and use the skills learned and improve their creative decision-making. Participants will take part in case studies, group breakout sessions and interactive mini-lectures that will guide their learning progress. The sessions are highly interactive and require engagement with participants and the faculty.

This program focuses on introducing students to the origins of Business Analytics. The course specifically focuses on why and how Business Analytics guides effective decision-making and strategy formation in organizations. Program participants will also learn more about how to develop a deeper understanding of what business analytics means today, how companies function in a world with an abundance of data and how their business might change if you used data for real-time decision-making.

The office of executive education at Stern operates on a year-round rolling admissions basis and accepts applications until the course is full. However, the admissions office strongly encourages all interested candidates to apply at least one month in advance of the course start date.

More information on the course, registration and other executive education programs offered at Stern can be found online.

regions:

About the Author


Erin Purcell

Staff Writer, covering MetroMBA's news beat for New York, Philadelphia, and Boston.


Let us find your Program match!!

Your compare list

Compare
REMOVE ALL
COMPARE
0