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Testimonials

The Emerging Power of Analytics: Big Data. Predictive Analytics. Data Mining. Experiential Projects. Teamwork. Multidisciplinary Perspectives.

Richard Schwartz

Richard Schwartz, PhD

“The imperative to analyze very large data sets has expanded from the purely academic world into the private sector. The MS in Business Analytics will prepare students with backgrounds in math and the sciences to productively analyze data in the business world.”
Richard Schwartz, PhD
Associate Dean for Graduate Academic and Student Affairs
College of Natural Science

Matt Mutka

Matt Mutka, PhD

“Large-scale, high-resolution data sets are being created in ways that were never before imagined.  Enormous challenges and opportunities are available for those who analyze, manage, and extract useful information from the data sets. We need to prepare graduates who can harness the knowledge hidden within the data sets to solve practical business problems.”
Matt Mutka, PhD
Chairperson, Computer Science and Engineering
College of Engineering

Sue Haka

Sue Haka, PhD

“Individuals able to engage the current volume, variety, and velocity of data to solve business problems are in high demand. The MS in Business Analytics from MSU enable graduates to step up to the challenges posed by big data. Through a blend of analytic visualization tools,  business process understanding, and real business-based experiential projects, the degree program builds competencies necessary to reach big data’s transformative potential.”
Sue Haka, PhD
Senior Associate Dean
Broad College of Business

Satish Upda

Satish Upda, PhD

“The ability to sift intelligence from the massive amounts of data collected is increasingly becoming a priceless skill. This program will help people acquire critically needed skills for analyzing big data in business and industry. These skills, which are the intersection of business and computational analysis, will help industry gain a competitive edge in ways that were not possible just a few years ago.”
Satish Upda, PhD
Executive Vice President for Administrative Services and University Distinguished Professor

Pang-Ning Tan

Pang-Ning Tan, PhD

“The new millenium has ushered in the era of big data and data-intensive computing. As the volume of data collected by organizations continues to expand, there is a shortage of competent graduates who understand the needs of business and are well versed in the wide array of data analysis tools. Often the courses that offer these skills are taught in different disciplines and colleges. The MS in Business Analytics addresses this gap and provides students with the unique opportunity to attend courses offered by different MSU departments, spanning business, statistics, and computer science.”
Pang-Ning Tan, PhD
Associate Professor, Computer Science
College of Engineering

Deepak Advani

Deepak Advani

“We’re in the early innings of a major transformative trend around business analytics. Advanced analytics applied to vast amounts of structured and unstructured data is enabling enterprises to serve customers better, drive efficiencies from their operations and manage risk and fraud more efficiently. This trend will not only create tremendous value for enterprises, but also generate strong demand for graduates who can apply analytics to a variety of business challenges. The program at Michigan State comes at an important time.”
Deepak Advani
IBM
Vice President, Business Analytics Products

Vallabh Sambamurthy

Vallabh Sambamurthy

“The exponential growth of data and the rise of analytics spans many fields–including natural science, engineering, computer science, social science and business. Our college partnerships in this program will prepare students for career opportunities in the growing analytics industry through a multidisciplinary, practical approach.”
Vallabh Sambamurthy
Eli Broad Professor
Accounting and Information Systems
Broad College of Business


Eli Broad College of Business

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