•  Online
  •  San Francisco
  •  Hybrid
  •  30 Total Units

Get Started Now


Almost there. Wow! look at us being popular. Hang tight, it is taking a bit longer than usual.

Golden Gate University is located at the nexus of finance and technology in San Francisco's business district. As the finance industry rapidly invents new paradigms in the face of economic change, GGU prepares students to be leaders in the global business world. The Masters of Science in Financial Analytics degree will equip you with the business analytics skills you need to address the challenges of today’s technology-intensive finance industry.

The MS in Financial Analytics is a specialized, technical program that provides in-depth exposure to principles and practices of corporate finance and business analytics.  You’ll learn programming, data analysis, business valuation and financial modeling. You’ll leave the program with a highly developed and practiced ability to make strategic decisions using the latest tools in technology, data analysis, business and finance.

Our hands-on faculty are leading practitioners in the fields of business, finance, and technology from the Bay Area and beyond. Our current roster of adjunct faculty hold day jobs at Wells Fargo, J.P. Morgan, Facebook, BridgeBio, RGB Spectrum, and B. Riley FBR, Inc.


  • Applicants should hold a bachelor's degree from a regionally accredited US institution or the equivalent from a recognized foreign (outside the US) institution, and provide official transcripts.
  • Applicants whose native language is not English must meet the English Language Proficiency Admission Requirements.
  • Applicants with an undergraduate GPA below 3.00 should submit a statement of purpose and a resume.
    The statement of purpose should address the circumstances that may have led the applicants to poor academic performance, what had changed and why they think they'll be successful now.

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.


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

Accounting for Managers
Introductory Financial Accounting

BUS 240
Data Analysis for Managers


Required Courses - 27 Units
Analysis of Financial Information for Accountants
FI 300
Corporate Finance
FI 307
Financial Modeling
FI 340
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.


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.

A Powerful Network

Golden Gate University Alumni Map

0 Alumni

 At Top Organizations

 In High-Level Positions

 Around the World

Featured Alumni

Dennis Lam

Dennis Lam

MS 12

Senior Consultant - Investment Banking & Corporate Banking Operations
Morgan McKinley

Garima Gupta

Garima Gupta

MS 11

Sr. Financial Performance Consultant
Stanford Health Care

A Few of Our Accolades