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Seton Hall University M.S. in Business Analytics
Seton Hall University

M.S. in Business Analytics

South Orange, USA

5 Years

English

Full time

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USD 1,520 / per credit

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Introduction

From health and science to retail and finance, big data is driving and changing every aspect of our world today — especially in business. Advanced technology now allows companies to gather and store massive amounts of data more easily than ever before. But businesses are all facing the same dilemma: how to harness that data once they have it.

All over the globe, companies are searching for leaders who can use data to solve problems strategically and make effective business decisions. Our M.S. in Business Analytics program prepares you to do exactly that. Offering equally solid foundations in both business processes and data analytics, our program develops managers and executives whose skills will be in high demand. Graduates are as comfortable communicating with managers as they are with quantitative analysts.

Transform Your Future with a STEM-Designated M.S. in Business Analytics

By 2031, the number of STEM-related occupations is projected to grow by almost 11 percent, according to the U.S. Bureau of Labor Statistics. In preparation, this STEM-designated program will equip you to utilize technology, data, and business analytics to make effective business decisions and solve complex business problems.

The STEM designation offers an additional benefit by allowing international students to apply to extend their 12-month optional practical training (OPT) by an additional 24 months.

Is it Worth it to Pursue a Master's in Business Analytics?

Studying Business Analytics at Seton Hall University equips graduates with a highly sought-after graduate business degree. This program prepares students for a robust job market by blending business acumen with analytics expertise, addressing the growing demand for data-savvy professionals in every sector. The curriculum's design ensures that graduates are not only proficient in the latest analytical tools but also adept at translating data insights into strategic business decisions.

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English Language Requirements

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