Master of Science in Financial Analytics (STEM)

Golden Gate University - San Francisco Campus

USA,California

 1 Shortlist

24 Months

Duration

CAD 20,370/year

Tuition Fee

CAD 65 FREE

Application Fee

May 2025

Apply Date

USA, California

Type: University

Location Type: Urban

Founded: 1901

Total Students: 3,387 +

Int. Students: 300 +

Campus Detail

Main Campus Address

536 Mission St, San Francisco, CA 94105, United States

Master of Science in Financial Analytics (STEM)

Program Overview

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.

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.