Computational Science and Engineering

Computational Science and Engineering (CSE) is now an integral part of scientific research and engineering design in which large-scale, dynamic simulation and high-performance computing play a central role. Students electing the CSE option become proficient in advanced computing methods as well as in one or more applied disciplines in science, engineering, mathematics or medicine. The CSE option fosters and coordinates interdisciplinary, computationally-based research and education and prepares students to solve complex technological problems. Graduates are highly sought by research and development focused industries, institutions and government laboratories.

Course requirements

Core credits requirement - 48

Elective course credit requirement - 18

Total degree credits requirement - 66

Prerequisite, Concentration or Other Requirements:

Ph.D. Qualifying Examination (QE) and Comprehensive Exam: Each student must pass a qualifying exam and a comprehensive exam on research preparedness prior to becoming a doctoral candidate. Due to the interdisciplinary nature of the program, courses from the same discipline cannot be used as both major and minor electives. For example, if any MTH courses are used as major electives, MTH courses cannot be used as minor electives. Similarly, if any PHY courses are used as major electives, PHY courses cannot be used as minor electives.

Sample courses

Major Electives for Computational Science and Engineering Option include any graduate-level course in MTH, PHY, and MAR (if deemed closely related to the student’s dissertation research).

Minor Electives can be these and other CoE graduate-level courses. Moreover, they should be sufficiently different from the student’s chosen categories of major electives. For example, a student can not use one MTH course as a major elective and another MTH course as a minor elective to fulfill the degree requirements.

Core Course Requirements

The core curriculum for the CSE option includes 9 hours of foundational courses in Mathematical/Computational Methods and High Performance Scientific Computing plus enrollment in EAS/CSE seminars. The latter courses are important to maintain cohesion within the group and to encourage exchange of ideas from a variety of perspectives.

EAS 501 - Advanced Mathematical Methods Credits: 3
EAS 502 - Numerical Methods Credits: 3
EAS 520 - High Performance Scientific Computing Credits: 3
EAS 600 - Dissertation Proposal Preparation Credits: 3
EAS 601 - Pre-Dissertation Research Credits: variable; .00 to 12.00
EAS 602 - Research Ethics Credits: 1
EAS 621 - Scientific Computational Research Seminar Credits: 3
EAS 622 - Scientific Computational Research Seminar Credits: 3
EAS 700 - Doctoral Seminar Credits: 2
EAS 701 - Doctoral Dissertation Research Credits: variable; 1.00 to 12.00

Specialization course requirements

A minimum of 18 additional hours of coursework is required for post-baccalaureate students. Course selection is based on the research and career goals of the student, and curricula will vary between students. The coursework must include courses from at least two disciplines. These courses are usually taken in mathematics, physics, engineering, or computer science.

Major electives - choose from MTH, PHY, MAR 500-600

Minor electives - choose from COE, MTH, MAR 500-600

Dissertation research

This work is completed under the guidance of the students’ faculty advisor. Additional information about the Option can be found here.