Computational Interdisciplinary Graduate Program
CIGP
Computational Interdisciplinary Graduate Programs (CIGP) at Purdue rank among the premier programs of their kind, worldwide. The programs offer specializations in Computational Data Science (CDS), Computational Life Science (CLS), and Computational Science and Engineering (CSE) for graduate students in participating departments across the Colleges of Agriculture, Engineering, Health and Human Sciences, Pharmacy, Science, and Polytechnic Institute. These programs have over 200 students and 175 affiliated faculty from various disciplines.
Program Overview
The Computational Interdisciplinary Graduate Program (CIGP) is a concentration that provides Purdue University graduate students with the opportunity to integrate computing skills with academic and research interests for a personalized, interdisciplinary experience. In joining CIGP, you will find a vast community of interdisciplinary computational scientists and scholars and will be empowered to use computational tools and methods to enhance your graduate education, deepen your understanding, and solve real-world challenges.
CIGP Admissions
Apply to CIGP today! For more detailed admission information, please visit our Admissions Page.
Any Purdue University Graduate Student who is already admitted to an associated degree-granting department.
- Fall Deadline: October 1
- Spring Deadline: March 1
- Submit a one-page application either in-person to the CIGP Office, either in-person or by emailing an electronic copy to @cigp@purdue.edu.
- Applications are accepted year-round but are only reviewed after the provided deadlines.
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.
Use the links below to find out more about each of CIGP’s CDS Associated Academic Departments. All associated academic departments are degree-granting departments at Purdue University that have a partnership with CIGP.
Use the links below to find out more about each of CIGP’s CLS Associated Academic Departments. All associated academic departments are degree-granting departments at Purdue University that have a partnership with CIGP.
- Agricultural and Biological Engineering (ABE)
- Agronomy (AGRY)
- Biochemistry (BCHM)
- Biological Sciences (BIOL)
- Biomedical Engineering (BME)
- Botany and Plant Pathology (BTNY)
- Chemical Engineering (CHE)
- Chemistry (CHEM)
- Computer Science (CS)
- Electrical and Computer Engineering (ECE)
- Forestry and Natural Resources (FNR)
- Health Sciences (HSCI)
- Horticulture and Landscape Architecture (HORT)
- Mathematics (MATH)
- Medicinal Chemistry and Molecular Pharmacology (MCMP)
- Physics and Astronomy (PHYS)
- Statistics (STAT)
Use the links below to find out more about each of CIGP’s CSE Associated Academic Departments. All associated academic departments are degree-granting departments at Purdue University that have a partnership with CIGP.
- Aeronautics and Astronautics (AAE)
- Agricultural and Biological Engineering (ABE)
- Agricultural Economics (AGEC)
- Aviation and Transportation Technology (AT)
- Biological Sciences (BIOL)
- Biomedical Engineering (BME)
- Chemical Engineering (CHE)
- Chemistry (CHEM)
- Civil and Construction Engineering (CCE)
- Computer Graphics Technology (CGT)
- Computer and Information Technology (CNIT)
- Computer Science (CS)
- Construction Management Technology (CMT)
- Earth, Atmospheric and Planetary Sciences (EAPS)
- Electrical and Computer Engineering (ECE)
- Engineering Professional Education (ProEd)
- Environmental and Ecological Engineering (EEE)
- Food Science (FS)
- Forestry and Natural Resources (FNR)
- Industrial Engineering (IE)
- Industrial and Molecular Pharmaceutics (IMPH)
- Materials Engineering (MSE)
- Mathematics (MATH)
- Mechanical Engineering (ME)
- Medicinal Chemistry and Molecular Pharmacology (MCMP)
- Nuclear Engineering (NUCL)
- Physics and Astronomy (PHYS)
- Psychological Sciences (PSYS)
- Statistics (STAT)
- Technology (TECH)
