The CSE Program at Purdue University is an interdisciplinary graduate program that started in Fall 1995. It offers specializations in Computational Science and Computational Engineering in 17 departments across the schools of Purdue. Specializations are offered in both MS and PhD levels.
The CSE Program at Purdue provides students with the opportunity to study a specific science or engineering discipline along with computing in a multidisciplinary environment. The aim of the program is not to produce a student with parts of two degrees, but rather a student who has learned how to integrate computing with another scientific or engineering discipline and is able to make original contributions in both disciplines. The expected course load and examinations for students in this program are roughly the same as for MS or PhD degrees in other disciplines at Purdue, with approximately one third of the course load and examinations from computing and two thirds in the student's home department. For students whose home department is Computer Science or Computer Engineering, one third of the course load will be from outside department application areas.
Specializations at the MS and PhD level are offered by Agricultural Economics, Agronomy, Biological Sciences, Chemistry, Computer Sciences, Earth and Atmospheric Sciences, Electrical Engineering, Food Science, Industrial and Physical Pharmacy, Mathematics, Mechanical Engineering, Medicinal Chemistry and Pharmacognosy, Nuclear Engineering, Pharmacy Practice, Physics, Psychological Sciences, and Statistics. Students must be admitted both to one of these departments and to the CSE program. The degree is awarded in the home department with the specialization Computational Engineering or Computational Sciences indicated on the transcript. The program is administered by the CSE Graduate Committee with representation from participating departments. CSE requirements are tailored to the home department's requirements. Students are expected to have a strong interest in computation and its application to science and engineering. Their undergraduate training is expected to have given them a strong foundation in several areas of science, engineering and computing.