Master of Science in Business Analytics (Executive) (STEM) Shorelight Group - Lewis University, USA

More and more organizations are looking for data-driven decision makers – those with a master’s degree in business analytics who have the educational qualifications to make strategic, operations, marketing and healthcare decisions based on objective and rock-solid data driven business intelligence.

Everyone is talking about “big data”. But there aren’t nearly enough qualified individuals ready to help organizations analyze and leverage data intelligence for improved decision making. Your Master’s in Business Analytics from Lewis University will prepare you to do just that and enter one of the fastest-growing careers around.

Analytic skills are becoming more important across all industries. How can retailers predict the hottest holiday gifts more than a year in advance? How did Macy’s enhance its email marketing program to increase profits? How did Deere & Company save more than $1 billion by optimizing its inventory? How does Facebook find your friends? More and more organizations are looking for qualified individuals able to help unlock the business secrets hiding within their data.

Perfect Mix of Business and Information Technology Education

You will attain a working knowledge of how to use data intelligence tools for informed and objective decision making. Through an interdisciplinary curriculum you will:

• Get real-world and hands-on experience with state-of-the-art data mining and business intelligence tools and technologies
• Gain the quantitative and data analysis skills required to solve complex business problems
• Learn how to develop corporate strategy by exploring relationships in an organization’s "big data" and predictive decision modeling.
• Learn how to analyze large data sets to uncover hidden relationships and make more informed business decisions
• Gain a working knowledge of data analysis techniques such as decision trees, classification, clustering, segmentation, decision support systems, search algorithms, data mining, factor and discriminant analysis and optimization concepts for data
• Identify business requirements, conduct feasibility analysis, and develop data warehouse models to make informed decisions.