Graduate Certificate in Data Engineering

The certificate program provides education on both Theoretical Foundation (TF) of Data Engineering and Applications (AP) of Data Engineering in specific engineering domains. The certificate requires completing 12 credits of coursework. At least 6 credits must be taken from courses listed under the Theoretical Foundation (TF) category. These courses provide training on the central theory and methods of Data Engineering, informed by physical and dynamical models that generally arise in engineering processes. At least 3 credits must be taken from courses listed under the Applications (AP) category. These courses provide training on applications of Data Engineering methods in specific engineering domains, by tailoring and applying data analysis to specific data acquisition techniques and models that are suitable for a particular engineering domain. The domains currently include Signal and Image Processing, Biomedical Engineering, Computer Engineering, and Systems Engineering.

Completion of a bachelor’s degree equivalent to a U.S. Bachelor’s degree from an institution that is recognized by a governmental national higher education authority (at the time the degree was earned). Transcripts of all collegiate work completed. In general, the minimum cumulative GPA for non-provisional admittance is a 3.000 GPA (on a 4.0 scale) to be admitted by the Graduate School. Departments may require a higher GPA. For admission of international applicants, the minimum grade for non-provisional admittance is a B grade equivalent. The grade equivalency is the recommended U.S. grade equivalent, not the GPA equivalent.