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Dec 08, 2025
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2025-2026 University Catalog
Data Science in Finance, MS
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About the Program
The goal of the Data Science in Finance Master’s program is to equip students with the tools necessary to pursue a career in a quantitative financial field. The 2-year course work provides students with comprehensive and practical knowledge of the mathematical, statistical, and computational skills. The following courses are offered as guides. They should be adapted to suit a student’s needs and an advisory committee’s recommendation. This degree requires 33 credit hours plus an oral final exam. Students in this program are also required to take at least one Data Science in Finance seminar course. Program Website Program Requirements
33 Credits RequiredRequired Courses (27 credits)
Core Courses (15 credits)
Computational Finance Courses (6 credits)
Data Science in Finance Courses (6 credits)
Selectives (6 credits)
Choose two. 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.
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