| |
Dec 06, 2025
|
|
|
|
|
2025-2026 University Catalog
Computational Data Science Concentration (GR)
|
|
|
Program Requirements
For MS: 9 Credits Required For PHD: 12 Credits RequiredRequired Courses (6 credits)
Core Areas (6 credits)
Both MS and PHD students should select two courses from two separate areas, listed below. Data Analytics & Visualization
Probability and Statistics
Programming and Computing
Data Science Applications
Selectives (3-6 credits)
MS students should take 3 credits, or one course, from the list below. PHD students should take 6 credits, or two courses, from the list below. Additional Requirements
MS students must take the CIGP seminar for one semester. PHD students must take the CIGP seminar for two semesters. During their final semester, MS students must complete a poster presentation and PHD students must complete a talk. Additional Information
Participating programs: Graduate Programs Disclaimer
- The student is ultimately responsible for knowing and completing all degree requirements. Students should consult with their advisor/department for more information.
- Not all graduate programs may be actively recruiting students and course modality availability may vary.
- Please refer to the Explore Graduate Programs website for a list of currently available graduate programs.
- Transfer credit policy: Credits earned for graduate study at other universities (both domestic and international) may be applied toward an advanced degree. Only credit hours associated with graduate courses for which grades of B- or better were obtained will be eligible for transfer. Any additional conditions under which credit transfers may be made are determined by the various departments.
- Comparative information about Purdue University and other U.S. educational institutions is also available through the College Navigator tool, provided by the National Center for Education Statistics, and through the U.S. Department of Education College Scorecard.
|
|
|
