Keith Godfrey

FIN 455 - Financial Modelling

Financial models are important in financial statement preparation, cash flow analysis, capital budgeting, business valuation, risk management, performance analysis, and many other management decision processes. In this course you will learn to construct financial spreadsheet models using current best practices with the functionality available in Excel. Topics include modelling basics, spreadsheet operations, financial statement models, valuation models, cost of capital, corporate transactions, sensitivity and scenario analyses, aesthetics and visualization, time series models, and an introduction to advanced Excel features. The emphasis is on building good models that help in decision making, with examples and exercises from the breadth of corporate finance. Prerequisite: FIN 201.

FIN 625 - Finance in Professional Accounting

Intended for students pursuing the CPA designation, this course looks at derivatives, hedging, risk management, financial statement analysis and valuation. Open to students enrolled in the MAcc program only.

MMA 608 - Business Applications of Artificial Intelligence

This comprehensive course, co-taught by a panel of expert instructors, aims to provide students with an in-depth understanding of how artificial intelligence (AI) technologies are applied in real-world business settings. It introduces students to a range of AI applications across different industries and functional areas, highlighting the transformative potential of AI in driving innovation, improving operational efficiency, and creating competitive advantages. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

MMA 612 - Financial Analytics

This course integrates financial skills with data science for enterprise decision-making, structured into four key sections. It covers core financial modeling skills, including interest rate discounting and uncertainty modeling, and explores Real Optionality to understand how management decisions and uncertainties affect valuation, focusing on NPV@Risk. The section on Decision Quality (DQ) delves into its relevance in business, biases, risk definition differences in finance and enterprise, and practical implementation strategies. Lastly, the course emphasizes creating interactive Data Science applications, teaching students to develop apps for engaging senior management, with all content exclusively using R programming. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

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