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  •  San Francisco
  •  Hybrid
  •  30 Total Units

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The primary objective of the program is to ensure that graduating students acquire the specialized skills and knowledge that they will need to add immediate value to their organizations in their roles as Financial Analysts. This program is a STEM-designated degree program.

The Master of Science in Financial Analytics requires completion of 6 units in the foundation program and 30 units of advanced program coursework, with a cumulative grade-point average of 3.00 or better in courses taken at Golden Gate University that are applicable to the program’s requirements. For further information regarding graduation requirements, see Degree Requirements for Graduate Programs. Courses carry three semester units of credit unless otherwise noted.

All course prerequisites must be satisfied prior to enrolling in a given course and are indicated in the the course description for each course. Individual foundation program courses may be waived if students have previously completed comparable courses at a regionally accredited college or university. Students may enroll in advanced program courses before they have completed the entire foundation program (provided they have met any course prerequisites) but must complete the foundation program by the time that they have enrolled in 12 units in the advanced program.

TOTAL UNITS — 30

FOUNDATION PROGRAM — 6 UNITS (Not Included in Total Units)

ACCTG 201
Accounting for Managers
or:
ACCTG 1A
Introductory Financial Accounting

MATH 240
Data Analysis for Managers

ADVANCED PROGRAM — 30 UNITS

Required Courses - 27 Units
ACCTG 351C
Analysis of Financial Information for Accountants
FI 300
Corporate Finance
FI 307
Financial Modeling
FI 340
Investments
FI 346
Derivative Markets
FI 304
Managing Data Structures
MSBA 300
Foundations of Business Analytics
MSBA 320
Advanced Statistical Analysis with R and Python
MSBA 326
Machine Learning for Predictive Analytics
Elective Course - 3 Units

Select any ACCTG, ECON, FI, or MSBA 300/400-level course, which may include FI 497 Internship: Finance.

LEARNING OUTCOMES

Graduates of the MS in the Financial Analytics degree program will have the knowledge and skills to:
  • Evaluate and explain financial decisions regarding the firm’s investment and long- and short-term financing strategies by applying financial theory, quantitative decision-making tools, and analytical methods.
  • Apply economic analysis to the firm’s decision-making, considering the impact of markets, institutions, and international trends on these decisions.
  • Define and measure business and financial risk. Describe the relationship between risk and return, and distinguish between expected and required returns. Explain how risk affects the valuation of real and financial assets, and describe techniques for managing risk.
  • Interpret and analyze individual business problems using data, selecting the best analytic approach and appropriate tools for extracting value from the data available. Use visual outcomes of analytics to communicate effective messages and recommendations for management teams.
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