Computational and Data Enabled Sciences PhD

School of Engineering and Applied Sciences

Program Description

Computational and data-enabled science and engineering is a new discipline that integrates computing, data sciences, and domain sciences. We train scientists to analyze big data and multisource datasets to solve these grand challenges, by bringing together the talents of faculty across several departments including the Departments of Mechanical and Aerospace Engineering, Chemical and Biological Engineering, Computer Science and Engineering, Math, Physics, and Chemistry.

Program Contact

School of Engineering and Applied Sciences
Office of Graduate Education
415 Bonner Hall
Buffalo, NY 14260
Email: gradeng@buffalo.edu

Instruction Method

  • In Person (100% of courses offered in person)

Full/Part Time Options

  • Full Time

Credits Required

  • 72 Hours

Time-to-Degree

  • 4 to 5+ Years

Application Fee

  • $85

Admission Tests**

  • GRE

Special Requirements

A master's degree in a related field is required for admission.

This program is officially registered with the New York State Education Department (SED).

Online programs/courses may require students to come to campus on occasion. Time-to-degree and number of credit hours may vary based on full/part time status, degree, track and/or certification option chosen. Time-to-degree is based on calendar year(s). Contact the department for details.

** At least one of the admissions tests are required for admission. Test and score requirements/exceptions vary by program. Contact the department for details.