Master of Science in Financial Analytics Program
The Master of Science in Financial Analytics program at Cal Poly Pomona prepares students for the Chartered Financial Analyst Level I and II exams while incorporating advanced financial big data analytics and financial technology into the curriculum.
At-A-Glance
*Payscale
Invest in You with an MSFA From Cal Poly Pomona
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.
- Completion time: 1 year or 2 years including fall, spring, summer terms
- Credit units needed for degree: 30 units
- Number of courses: 10 core courses
- Class mode: Evenings, weekends, and hybrid formats
- Networking: As a CFA university affiliation program, students have access to various industry-sponsored networking events. The FRL department also has a strong alumni base and will pair students with alumni for career mentorship.
- Financial Manager
- Financial Analyst
- Portfolio Manager
- Investment Banking Analyst
- Financial Planner
- Data Scientist in Finance
The MS in Financial Analytics program is open to students with a baccalaureate degree with any strong liberal arts and/or STEM background from a regionally accredited college or university. Admission to this program is based on the holistic view of the following criteria below. Weakness in one area can be made up by strengths in other areas.
- Demonstrated mastery of college algebra and statistics with a grade of "C" or better in relevant coursework.
- Minimum 2.5 GPA.
- For International students: demonstrated proof of English proficiency, e.g., TOEFL score of 550 (paper-based), 213 (computer-based) or 79 (internet-based), or IELTS of 6.5 or above.
- One letter of recommendation.
- Past working experience in finance, statistics, analytics, or closely related areas may be considered favorably.
- Passing CFA Level 1 exam will significantly improve the chance of admission.
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.