Computational Science and Engineering (CSE) is a discipline concerned with the body of knowledge, skills, and practices associated with the study of computer-based models of natural phenomena and engineered systems. Students will be required to obtain a breadth of knowledge across a set of core areas in the CSE discipline, depth of knowledge in a specific computational specialization (e.g., numerical computing), and knowledge to apply computational techniques in a domain of application. Students will be expected to integrate principles from mathematics, computer science, and engineering to be able to create significant computational artifacts (e.g., software).

The CSE MS degree program is an interdisciplinary program offered by the College of Computing, the College of Engineering, and the College of Sciences. Upon application, students select a desired “home unit” among those academic units that formally participate in the program.

Students must complete four of the five courses making up the core curriculum: CSE/Math 6643 (Numerical Linear Algebra), CSE 6140 (Computational Science and Engineering Algorithms), CSE 6730 (Modeling and Simulation: Fundamentals & Implementation), CSE/ISYE 6740 (Computational Data Analysis), and CSE 6220 (High Performance Computing). A home unit minor is required consisting of 12 hours of coursework relevant to the CSE discipline that includes one applications area; this must include at least 6 hours of courses that do not carry the CS/CSE course designation. Finally, students must either complete 6 additional hours of approved coursework (course option) or an MS thesis (thesis option) that is defended to the student’s thesis committee who is responsible for overseeing the student’s research. 6 hours of thesis credit are required in the thesis option. Additional requirements may apply depending on the student’s home unit. A plan of study must be approved by the CSE program director and the student’s home unit coordinator.