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.