Data-driven insights and analytics are facilitating and optimizing intelligent decision-making across industries today.
“By 2018, the United States will experience a shortage of 190,000 skilled data scientists, and 1.5 million managers and analysts....driving the demand for skilled data practitioners.”
Intended to meet the need for professionals who can harness complex data and convert it into meaningful information, the master's in systems analytics at the School of Systems and Enterprises is providing students with expertise in visualizing, manipulating and extracting important concepts from systems data, and complementing it with traditional systems decision-making.
The master’s degree equips students with state-of-the art data visualization and knowledge extraction techniques for the purpose of analyzing trends, assessing risk, discovering patterns, and building decision models that can better develop, maintain and improve complex engineering systems and enterprises.
With big data becoming big business, technical managers need to increasingly use sophisticated graphics, animations, visualization and models to analyze and present data in ways that enables and optimizes intelligent decision-making for enterprises.
