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Dec 05, 2025
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2024-2025 Graduate Catalog [ARCHIVED CATALOG]
Financial Services Analytics (MS)
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Students who successfully complete the Financial Services Analytics M.S. program will demonstrate:
- Fundamental knowledge of data science concepts, theories, and major classical/modern data analytics techniques.
- The ability of summarizing, analyzing, visualizing, and processing data via popular computer program tools.
- Good understanding of financial markets, institutions, the mechanisms behind, and related operations.
- The ability to identify and model business problems in financial services and other business environments, and solve the problems via popular data analytics tools.
- The ability to communicate their knowledge and findings in oral and written forms to other professionals and to more general audiences.
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Program Requirements
Students must complete a minimum of 30 hours of coursework, plus 6 credit hours of seminar, and 9 credit hours of doctoral dissertation. Students must maintain a 3.0 cumulative GPA. Minimum residency requirement is one year. Core, Required, and Elective Courses (30 Credits)
- Financial Services Analytics Core: 18 Credits
- Required Class: 3 Credit
- Electives: 9 Credits
Note:
* FSAN 815 /ELEG 815 and FSAN 817 /ELEG 817 are housed in and administered by the Department of Electrical and Computer Engineering. The courses will be cross-listed with FSAN as the secondary designation. * FINC 841 and FINC 842 are housed in and administered by the Department of Finance. FINC is the primary designation of FINC 841 and FINC 842 . The courses will be cross-listed with FSAN as the secondary designation. Credits to Total a Minimum of 30
Last Revised 2024-2025 Academic Year
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