Overview
Computational Interdisciplinary Graduate Program (CIGP) offers specializations in Computational Science and Engineering (CSE) and Computational Life Sciences (CLS) for graduate students in participating departments across the Colleges of Agriculture, Engineering, Health and Human Sciences, Pharmacy, Science, and Technology.
Both curricula have been designed to provide a broad and interdisciplinary program of the study with a maximum possible flexibility and students have the freedom to tailor the program to their individual interests through exploration of several areas of specialization. In CSE, there are two focus areas: Core and Relevant Courses. Core courses are designed to provide a primary focus on various levels of computing, computer programming, algorithms, and parallel computing. CLS focuses on three areas: Core Life Science, Core Computing, and Relevant Courses. Core courses are designed to provide primary focus on various levels of quantitative modeling, algorithms and software, analysis and data acquisition. In both programs, the Relevant Courses are selected in conjunction with the faculty from affiliated graduate programs, allowing students the flexibility to take coursework specifically relevant to their research.
In addition, both CSE and CLS come together for a CIGP seminar course where students have an opportunity to hear new ideas and share interests in computational research. Students seeking a Masters or PhD may apply to CIGP. Over the past five years, 2013-2018, there have been 86 PhD students, 73 MS students, and 7 combined MS/PhD students from a variety of Departments.
