Introduction

More and more industries are looking for knowledgeable individuals who can mine tremendous amounts of data to glean powerful and profitable business intelligence.

In fact, the entire business models of companies like Google and Facebook rely solely on this data mining and predictive analytics. But companies can only act on the actionable information they have available to them. Little do many realize how much information lives within their data, ready to be deciphered - ready to be acted upon. For instance:

    • How are Amazon and Netflix able to build such accurate recommendation engines based on past customer purchases?
    • How are health organizations able to track disease outbreaks and strategically protect against their spread?
    • How did Billy Beane’s use of data analytics change the way baseball and subsequently all professional sports are played?
    • How can pharmaceutical providers customize medications based on individual health factors and medical history?

Most importantly, how can Data Science help companies utilize these same data mining and predictive analyses to optimize organizational processes? This program offers the perfect preparation for success as a Data Scientist through an interdisciplinary curriculum in which a student will:
    • Design and develop software and systems to store, manage, query, process and interpret big data
    • Devise algorithms to identify reasonable trends buried in large data sets
    • Determine how best to display data to communicate actionable recommendations
    • Develop an in-depth understanding of the mathematics and computing of data science techniques and technologies
    • Use real-time and historical data to solve real-world business problems
    • Learn how to evaluate and compare large-scale and cloud-based data storage solutions that meet specific performance, security, query, functional and cost requirements
    • Choose appropriate data mining and analysis techniques to solve specific problems
    • Conclude graduate experience by researching and writing thesis, applying data mining and analytics to your specific industry