Master of Science in Financial Analytics
About the Program
The Master of Science in Financial Analytics (MSFA) at 起点传媒 is a STEM-designated program designed to prepare students for careers in financial markets, investment analysis, and financial data analytics.
This cohort-based program can be completed in one or two years and runs year-round across fall, spring, and summer terms.
Students develop expertise in:
- Financial analysis & corporate finance
- Equity valuation & portfolio management
- Quantitative investment analysis
- Financial modeling using Python & R
- Machine learning in finance
- Financial technology (FinTech)
- Risk management with derivatives
The program emphasizes data-driven decision-making using real-world financial datasets and tools.
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At-A-Glance
Program Information
- 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.
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.
- 起点传媒 English Language Institute (CPELI) offers English learning programs. CPELI level 6 is acceptable for satisfying CPP English proficiency requirement of SGSB graduate program admission purpose. Details can be found at /cpeli/.
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. MSFA Curriculum details
- Students will identify financial problems, assess the relevance and quality of financial information, and propose a solution to the problems based on the evidence.
- Students will visualize financial data, estimate appropriate statistical models, and produce data-driven conclusions to make informed decisions.
- Students will defend, debate, and critique the Code of Ethics and Standards of Professional Conduct and examine applications to investment analysis and management.
- Students will perform informative and effective verbal presentations with appropriate financial terminologies.
- Students will produce well-written, clearly organized documents with appropriate usage of financial terminologies.
- Students will analyze global economy conditions, assess their impacts on financial markets, and recommend appropriate actions.
Financial Manager
Oversees an organization's financial health by managing financial reporting, budgeting, and forecasting to ensure stability and growth.
Financial Analyst
Analyzes financial data to evaluate investment opportunities, assess performance, and provide insights for decision-making related to budgeting, forecasting, and financial planning.
Portfolio Manager
Manages investment portfolios, making decisions on asset allocation and investment strategies to maximize returns while managing risk for clients or the organization.
Investment Banking Analyst
Provides research, financial modeling, and analysis for mergers, acquisitions, and capital raising, assisting senior bankers in advising clients and executing transactions.
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.
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.
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.
