Computational and Data-Enabled Sciences

Overview

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 Requirements

The Computational and Data-Enabled Sciences programme from the University at Buffalo SUNY - School of Engineering and Applied Sciences requires a minimum of 72 credit hours. Additional requirements include passing qualifying exams and preparing your dissertation. 

A Master's degree in a related field is required for admission to the PhD program. Some related fields of study include engineering, mathematics, physics, chemistry, marketing, business, and pharmacy.

Qualification Process

When you first start our program, you will select an advisor and your dissertation committee. Then, you will decide on a research topic and submit a short proposal that articulates your topic and its relationship to the computational and data sciences field. This technical report must be completed no later than the end of the second semester.