Philippe Cote

FIN 450 - Applied Data Science in Finance I

This course provides data science skills that are needed to implement financial concepts and theories. Topics covered include data wrangling, visualization, web scraping, machine learning, and natural language processing. Students gain an ability to draw informed insights from data for identifying business's needs, and to articulate solutions with effective visualization supporting business communication and discussions. Prerequisites: FIN 301 and FIN 412

FIN 488 - Selected Topics in Finance

Normally restricted to third- and fourth-year Business students. Prerequisites: FIN 301 or consent of Department. Additional prerequisites may be required.

FIN 654 - Risk Management

Futures, options, and other derivative securities. Markets, valuation models, application to risk management through hedging, and the application of pricing models to the valuation of financial contracts. Prerequisite: FIN 501 or FIN 503. It is recommended the student have credit in FIN 614.

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