Computational and Data Enabled Sciences PhD

School of Engineering and Applied Sciences

Program Description

The Computational and Data Enabled Sciences PhD addresses pressing research challenges across various fields, such as materials modeling and design, natural disasters, smart electric grids, and medical technologies, by integrating large-scale computing and big data analysis. Through the collaboration of faculty members from departments including Mechanical and Aerospace Engineering, Chemical and Biological Engineering, Computer Science and Engineering, Math, Physics, and Chemistry, the program trains scientists to effectively analyze big data and multisource datasets. By combining expertise in computing, data sciences, and domain sciences, students are equipped with the necessary skills to tackle complex problems and solve grand challenges in their respective fields.

Program Contact

School of Engineering and Applied Sciences
Office of Graduate Education
415 Bonner Hall
Buffalo, NY 14260

Instruction Method

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

Full/Part Time Options

  • Full Time

Credits Required

  • 72 Hours


  • 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.