This course introduces the core principles and analytical tools of modern financial management. Students examine financial statements, capital structure, valuation methods, and the relationship between risk and return. Emphasis is placed on practical application through case studies and data-driven analysis

The course introduces students to cutting-edge methods of Statistics and Machine Learning used in the financial industry. The topics include linear programming, regression, non-parametric methods, decision trees, neural networks, and reinforcement learning.

This course provides a comprehensive framework for constructing and applying financial models to forecast a firm’s financial performance. Students will focus on the development of integrated 3-statement models, learning to synthesize income statements, balance sheets, and cash flow statements into a cohesive analytical tool. The course places a special emphasis on the integration of Artificial Intelligence (AI) for code generation, data analysis, and forecasting.

This course examines econometric theory and application at the graduate level. Students study model formulation, estimation, and diagnostic testing using real-world financial and economic data. The methods are implemented in R and/or Python.

This course provides an analytical study of derivatives markets, focusing on options, futures, and related instruments. Topics include pricing models, hedging strategies, and risk management applications. Students gain practical experience applying quantitative tools to evaluate and structure derivative-based financial strategies.

This course explores the core ideas of investment analysis and portfolio management. Students study asset classes, risk and return tradeoffs, market efficiency, and valuation models including CAPM, APT, and multifactor frameworks. The course integrates theory and empirical methods to guide investment decision-making.

This advanced seminar addresses emerging and specialized topics in finance not covered in the standard curriculum. Content varies by semester and may include areas such as financial technology, quantitative asset management, or sustainable finance. The course emphasizes independent research, computational analysis, and applied problem-solving in a seminar format.

This course provides an in-depth study of fixed income markets and instruments. Students analyze bond valuation, yield curves, interest rate risk, and credit risk. The course also considers policy and regulatory influences on fixed income markets and emphasizes quantitative methods for bond portfolio construction and management.

This course examines the strategic and financial considerations underlying corporate mergers, acquisitions, and restructurings. Students explore valuation techniques, deal structures, takeover tactics, and post-merger integration. Emphasis is placed on applying analytical models and strategic frameworks to assess transaction value and feasibility.

This course provides advanced analysis of real estate finance within capital market frameworks. Students study mortgage-backed securities, REITs, and structured financing instruments. The course integrates Excel-based modeling, risk assessment, and portfolio optimization to evaluate investment opportunities in real estate markets.

This seminar course explores selected contemporary issues in finance that extend beyond the core curriculum. Topics may include entrepreneurship finance, media finance, or bankruptcy and restructuring. The course emphasizes case-based learning, applied research, and discussion of evolving market developments.

This seminar connects students with finance professionals and industry leaders to explore current trends, innovations, and challenges in global finance. Guest lectures and discussions provide insights into contemporary practices and career development within the financial services sector.

This course enables students to pursue supervised research on a selected topic in finance. Projects involve critical review of literature, data analysis, and application of theoretical frameworks to current industry or academic questions. The independent study promotes scholarly inquiry and professional depth.

This capstone course integrates academic learning with professional experience through a supervised project for an approved organization. Students design, execute, and present an applied finance project demonstrating mastery of program competencies. Enrollment requires prior faculty and sponsor approval.

This experiential course allows students to apply academic knowledge in a professional finance setting. Under faculty supervision, students engage in applied work that enhances practical understanding, professional skills, and career readiness.