Graduate Programs

Financial Analytics

Master of Science - MSFA |
Graduate

Students in Bloomberg Terminal lab listening to MSFA director

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About the Program

The MSFA program offers a one- or two-year cohort program with 30 units. The year-round program will include classes in the fall, spring, and summer terms. This program is a STEM designated degree program for students who want to gain in-depth knowledge in financial markets and advanced skills in financial data analytics. Students are trained to equip themselves with financial big data processing and modeling to make informed and data-driven financial decisions. Specific skills and topics include financial analysis, advanced corporate finance, equity valuation, quantitative investment analysis and portfolio management, big data analytics in finance using Python and R, data visualization, machine learning in finance, fixed income securities, quantitative risk management with financial derivatives using Python, financial technology, and asset management project management practicum.

59%
Average salary increase for financial analyst with bachelor鈥檚 vs. master鈥檚 degree
Payscale
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Career Outcomes

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Financial Manager

Oversees an organization鈥檚 financial health by managing financial reporting, budgeting, and forecasting to ensure stability and growth.

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Financial Analyst

Analyzes financial data to evaluate investment opportunities, assess performance, and provide insights for decision-making related to budgeting, forecasting, and financial planning.

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Portfolio Manager

Manages investment portfolios, making decisions on asset allocation and investment strategies to maximize returns while managing risk for clients or the organization.

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Investment Banking Analyst

Provides research, financial modeling, and analysis for mergers, acquisitions, and capital raising, assisting senior bankers in advising clients and executing transactions.

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Financial Planner

Works with individuals or businesses to develop strategies for managing finances, including retirement planning, investments, taxes, and insurance to achieve long-term financial goals.

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Data Scientist in Finance

Applies advanced data analytics, machine learning, and statistical methods to financial data to identify trends, develop predictive models, and support decision-making in investment and risk management.

Overview

Our curriculum aligns with Chartered Financial Analytics (CFA) level I and II requirements, preparing students for CFA level I and II exams. The CFA designation is one of the highest distinctions in the global asset management profession. In addition, the curriculum prepare graduates for advanced financial modeling and analytics skills using Python and R programing languages, access to cloud-based Bloomberg data and analytics platform, CRSP, Compustat, Wharton Research Data Services (WRDS), and exposure to Student Managed Investment Fund program and FinTech applications.

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Dr. J Douglas Ramsey Financial Markets Room

Home to our Bloomberg financial software, this dynamic hub of real-world business and macroeconometric analysis provides hands-on experience with the same tools trusted by financial professionals worldwide. This immersive learning approach deepens students understanding of financial markets and data analysis while giving you a competitive edge in the job market.

Dr. J Douglas Ramsey Financial Markets Room

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