COURSE CURRICULUM

The Master of Science in Finance and Financial Analytics at University of New Haven is a 30–33 credit graduate program designed to prepare students for careers in corporate finance, investment banking, financial analytics, wealth management, FinTech, and risk analysis. The curriculum combines advanced financial theory with practical analytical tools, internships, and real-world projects, while small class sizes provide individualized learning and professional development opportunities. Students complete a foundation course in financial accounting, which may be waived depending on prior academic background, followed by six core courses and four electives. Core subjects include financial econometrics or business analytics, capital market theory, equity market valuation, fixed income analysis, and a finance capstone project that integrates analytical and strategic decision-making skills. Elective options allow students to specialize in areas such as corporate finance, derivatives trading, quantitative trading strategies, FinTech analytics, mergers and acquisitions, international finance, wealth management, real estate analysis, compliance and regulation, machine learning, Power BI, and database management for business analytics. The program emphasizes quantitative analysis, financial modeling, data visualization, and technology-driven financial decision-making, helping students build expertise in both traditional finance and emerging financial technologies. Program learning goals focus on developing strong analytical capability in finance, understanding risk analysis and financial markets, applying ethical standards within the financial industry, and communicating financial insights effectively. Students also gain preparation for professional certifications such as the CFA through specialized coursework and review options. The program is especially suitable for students seeking advancement in financial services, investment analysis, corporate finance, analytics, and consulting roles, while internships, research projects, and thesis opportunities provide additional experiential learning and industry exposure.