Finance (MS)

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Please see the Program Policy Document for more information.

Program Educational Goals:

Use dynamic modeling of big financial data including statistical inference to facilitate effective decision making.
Design and implement financial analytics algorithms to solve financial problems using big data.
Use data visualization and financial analytics tools to facilitate effective decision making and communication.

Requirements for the Degree:

Required Courses:

24 credits.

Electives:

Six credits. Elective Courses can be any pre-approved 600 and/or 800-level FINC, ACCT, ECON, STAT, APEC or MATH course. Students are not limited to these courses and, with the approval of the program director, other graduate courses can be used to satisfy elective requirements.

ACCT 614 - Advanced Federal Taxation Credit(s): 3
FINC 612 - Capital Markets & Financial Institutions Credit(s): 3
FINC 615 - International Finance Credit(s): 3
FINC 616 - Derivative Securities and Risk Management Credit(s): 3
FINC 619 - Financial Modeling and Valuation Credit(s): 3
FINC 630 - Fintech and Data Science for Finance Credit(s): 3
FINC 651 - Corporate Financial Analysis Credit(s): 3
FINC 652 - Investment Analysis and Portfolio Management Credit(s): 3
FINC 654 - Special Topics in Finance Credit(s): 1-3
FINC 658 - Corporate Governance Credit(s): 3
FINC 842 - Financial Services Risk Analytics Credit(s): 3
ECON 600-level courses with permission of Director.

Finance (MS)

Program Educational Goals:

Requirements for the Degree:

Required Courses:

Finance Analytics:

Applied Analytics:

Data Skills:

Electives:

Credits to Total a Minimum of 30

Last Revised for 2022-2023 Academic Year