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.
ADMISSION REQUIREMENTS
- 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.
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.
