Computational Interdisciplinary Graduate Program (CIGP) offers specializations in Computational Science and Engineering (CSE), Computational Life Sciences (CLS), and Computational Data Science (CDS) for graduate students in participating departments across the Colleges of Agriculture, Engineering, Health and Human Sciences, Pharmacy, Science, and Purdue Polytechnic. CIGP is not a degree-granting department; rather, it is a concentration that you may earn on your final transcript upon graduation.  

The curricula for each track has been designed to provide a broad and interdisciplinary program of study with maximum possible flexibility. Students have the freedom to tailor the program to their individual interests through exploration of several areas of specialization.  

Each track has its own unique set of Core Courses, split into what is referred to as “Core Groups.” These Core Groups are selected in conjunction with CIGP faculty and aim to assist CIGP students in their interdisciplinary computational pursuits. The curriculum is designed to provide primary focus and emphasis on various levels of quantitative modeling, algorithms and software, analysis and data acquisition, computing, computer programming, and parallel computing for science, engineering, life science, and data science. 

• CDS has five Core Groups: Data Analytics and Visualization, Data Science Applications, Intelligent Computing, Probability and Statistics, and Programming and Computing.  

• CLS has two Core Groups: Core Life Science and Core Computing. 

• CSE has six Core Groups: Introduction to CSE, Computational Mathematics, High Performance Computing, Intelligent Computing, Scientific Visualization, and Computational Optimization. 

CDS, CLS, and CSE also each have an array of Relevant Courses. 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, the three tracks come together for a CIGP seminar course where students have an opportunity to hear new ideas and share interests in computational research. Any graduate student seeking an MS or PhD from one of our partnered academic departments may apply to CIGP.