Modeling, simulation and data analytics, or MSDA, is the use of various models and tools to generate and analyze predictive data, in order to communicate meaningful information to support decision-making, strategic planning in a wide range of professional fields.
The collection and use of significant predictive data is essential to effective business in both the short and long-term, and MSDA professionals are needed more than ever in today’s world of superfluous, unorganized and seemingly meaningless information.
Historically, those working in MSDA had a background in engineering, mathematics, science or quantitative business disciplines. More recently, with the advent of more user-friendly software, data visualization and decision support tools, professionals from a wide range of fields from healthcare, product development, finance, education, and a host of other areas are applying MSDA to a wide range of complex system problems to reduce cost, increase quality, save time, and provide strategic planning and decision-making support.
"The MSDA Program at Philadelphia University comprises all the models and tools one would need to be successful in formulating meaningful predictive data. Most importantly, it teaches students how to effectively communicate these insights so companies can successfully execute them."
Tom Sterling, PMP
Global HR Shared Services Mylan
"The new MSDA program is designed to address several important skill gaps in today's business environment by combining simulation techniques, advanced analytics, and state-of-the-art data visualization tools. Students will emerge from this course with the ability to conceptualize dynamic problems more easily, simulate them more reliably, analyze them more robustly, and communicate insights to decision-makers more effectively. These skills are vital to any organization looking for a competitive advantage in the Big Data era."