Program description

The PhD program in data science, analytics and engineering engages students in fundamental and applied research as preparation for careers in academia, government or industry. The program’s educational objective is to develop each student’s ability to perform original research in the development and execution of data-driven methods for solving major societal problems. This includes the ability to identify research needs, adapt existing methods and create new methods as needed for data analytics and engineering.

This degree program is a collaboration between the School of Computing, Informatics, and Decision Systems Engineering (CIDSE) and the School of Mathematical and Statistical Sciences (SoMSS) and provides a rigorous education with research and educational experiences that allow students to pursue careers in advanced research, teaching or state-of-the-art practice. Graduates demonstrate proficiency with existing methodology and significant accomplishment at advancing the state of the art in their chosen area of data science, analytics and engineering.

Application deadlines

Fall: January 15
Spring: September 15

Contact Us

School of Computing and Augmented Intelligence (formerly CIDSE)
Graduate advising office

Data science, Analytics and Engineering PhD brochure thumbnail

Read our online brochure for more details about the data science, analytics and engineering graduate program.