Study Doctor of Philosophy in Computational and Data Enabled Sciences at University at Buffalo - SUNY in the USA, School of Engineering and Applied Sciences

About this course

About this course
- Overview
- Department
Study options
Entry requirements
- International

What will I learn?

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.

Which department am I in?

School of Engineering and Applied Sciences

Study options

Full Time (4 Years)

Tuition fees

US$25,740.00 per year

*Price shown is for indicative purposes, please check with institution

Start date

August 2027

Venue

North Campus

Flint Entrance,

Amherst,

Massachusetts,

14260, United States

Entry requirements

For international students

To apply for the Computational and Data-Enabled Sciences PhD program, students should hold a master's degree in a related field, including but not limited to engineering, computer science, mathematics, business, marketing and pharmacy.

Because our program is highly interdisciplinary, many diverse backgrounds will be considered. Applicants must have a 3.0 GPA or better from their bachelor's degree courses.