Close Menu

Master of Data Science

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 IIT’s Master of Data Science (MAS DS) program you will learn how to explore data using high-level mathematics, statistics, and computer science. You will develop insights by asking the right questions, visualizing the results, and articulating your discoveries, all of which will help you become a better decision-making analyst. Critical thinking, ethical behavior, and communication, all highly valued in the business world, are strongly emphasized. 

Working professionals can complete the program part-time in two years through a fully online curriculum. Full-time students attending class on the main campus normally complete the program in sixteen months, though a 12 month program is available. Partial tuition scholarships are available for qualified students and alumni.

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, adding significant value to your employer.

The Chicago Advantage

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. Graduates from IIT’s Data Science program have opportunities to be involved in the world of big data in one of the country’s most vibrant cities.

"Of course it's a good thing to see the growing availability of data science programs in academia. As recently as 2011, there were next to no formal training programs. Now, there are solid data science or advanced analytics programs in place at Columbia's Institute for Data Sciences and Engineering; UC Berkeley's iSchool; Carnegie Mellon University; Illinois Institute of Technology; Imperial College, London; North Carolina State; Syracuse University; and the University of Tennessee."
—Harvard Business Review


"Look for the continued emergence of data science curricula in academia, with new Masters' programs like those at NYU, Columbia, Berkeley and Illinois Institute of Technology supplanting first generation Predictive Analytics kin. The winning curricula, like the winning data science book, will combine the vision, organization and rigor of academy with attention to the day-to-day technical demands of practitioners."
—Information Management

Program Administration

Program Director
Shlomo Argamon, Ph.D.
Computer Science Department
312.567.5289
argamon@iit.edu

Program Associate Director
Lulu Kang, Ph.D.
Applied Mathematics Department
312.567.5322
lkang2@iit.edu

Director, Professional Master's Programs
Elizabeth Friedman, Ph.D.
College of Science
312.567.7973
friedman@iit.edu


Applications are now open for Fall 2015 classes.