Amassing huge quantities of data and applying statistical analysis can easily lead to meaningless, if not misleading, results. Powerful computers and sophisticated statistical algorithms can process data to find patterns and trends, but they cannot, by themselves, explain the data and predict in a way that makes sense. Data scientists, on the other hand, are able to extract insights from the data, construct a narrative, and provide solutions.
In Illinois Tech's Master of Data Science program you learn how to explore data using high-level mathematics, statistics, and computer science. You will learn how to analyze data, visualize your results, and articulate your discoveries. You will learn to think critically and communicate your insights. You will become a better decision-maker by knowing which questions to ask and by understanding the ethics of working with data.
Working professionals can complete the program part-time in two years through a fully online curriculum. The program is also offered to full-time students on Illinois Tech's Mies Campus. Visit our frequently asked questions to view admission requirements, program duration, and scholarship opportunities.
The Scientific Approach
In the program, you will approach data using scientific methods. You will learn to question underlying premises and reformulate issues, explore and improve the structure of available data, create and evaluate models, construct and test hypotheses, draw conclusions, and determine if the results make sense in the real world. You will leave the program with the ability to think about the real problems that need to be solved, not to simply find technical solutions. As a student, you will learn the theory behind the tools, which in turn will make you a more versatile data scientist.
Theory and Practice
Illinois Tech is the Midwest's premier technology university, with a long history of graduating rigorously prepared scientists and engineers. You will be taught the fundamental theories and tools used in data science and then put them to practice on real-world data science projects. You will learn to effectively communicate findings to specialists and non-specialists alike.
The Chicago Advantage
“Chicago has two unique strengths: City government is a pioneer in open data, and it has a lot of non-tech companies that have tremendous analytics teams,” says Shlomo Engelson Argamon, who heads the master of data science program at Illinois Institute of Technology.
Chicago is a global city whose business and industry rely on amassing data in finance, risk assessment, healthcare, retail, manufacturing, tourism, and sports activities. Moreover, the City government allows and encourages access to its wealth of municipal data. In this international city by the lake, IIT’s data science students engage in Chicago’s thriving tech community.
Argamon Speaks at Sold-Out Inaugural Data Science Conference
Shlomo Argamon, professor of computer science and founding director of the Master in Data Science program, will speak on “Types of Data Science Education” at the inaugural Data Science Conference, Thursday, November 12-Friday, November 13, at the Gleacher Center downtown.
The new conference, which is sold out, has no sponsors, vendors, or recruiters, because it is meant to focus on sharing knowledge among practitioners—business analytics professionals working on data science, big data, data mining, machine learning, artificial intelligence, or predictive modeling. Speakers are from Microsoft, Google, IBM, Amazon, Booz Allen, Allstate, Walmart, Comcast, Southwest Airlines, and more. More »