Dec 05, 2025  
2024-2025 Graduate Catalog 
    
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.

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

Degree Requirements


Electives (9)


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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