Finance graduates earn a median $74,576 Across 266 US programmes, two years after finishing
See the degree grade →A STEM-designated Master of Science in Financial Analytics that can be completed in one or two years (30 units) through year-round terms. Suited to students aiming for technical roles in finance — those who want advanced financial modeling, machine learning applications, and hands-on data analytics using Python and R.
The curriculum develops skills in financial analysis and advanced corporate finance, equity valuation, quantitative investment analysis and portfolio management. Technical training emphasizes big data analytics in finance using Python and R, data visualization, machine learning in finance, and quantitative risk management with financial derivatives using Python. Additional topics include fixed income securities, financial technology, and asset management project management practicum. Students also gain access to cloud-based data and research platforms including Bloomberg, CRSP, Compustat and WRDS, and have exposure to a Student Managed Investment Fund program.
The program page provides admissions details; the publicly available description does not list specific prerequisites or application requirements. Prospective applicants should consult the program admissions information for formal requirements and documentation.
Graduates are prepared for roles that combine finance and analytics. Typical career outcomes cited by the program include Financial Analyst, Financial Manager, Portfolio Manager, Investment Banking Analyst, Financial Planner and Data Scientist in Finance. The page also references a Payscale figure showing an average salary increase for financial analysts with a master's versus a bachelor’s degree.
Specific scholarships or funding details are not provided on the program summary; applicants should review the university’s financial aid and scholarships pages for opportunities and eligibility criteria.
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