Investment & Portfolio Mngt (FIN 411) Current theories of portfolio management are covered in considerable detail to provide a conceptual framework for the evaluation of investment strategies. Applications and implementation are covered in depth, including performance evaluation and international diversification.

Quantitative Finance (FIN 502) Quantitative methods used for financial decision making. Topics include elements of statistics, mathematics, and specific analytical tools used in the study and practice of finance.

Quantitative Finance II (FIN 503) This course covers topics in time series analysis with an emphasis on applications. It is intended to prepare MSF students for more advanced courses in finance. This course provides some basic knowledge of financial time series data. It also introduces models and methods widely used by academics and practitioners. The purpose of this course is to understand proper use and limitations of econometric methods in applied time series analysis. 2 graduate hours. No professional credit. Credit is not given for FIN 503 and FIN 580: Section QM2, (68387). This course covers topics in time series analysis with an emphasis on applications. It is intended to prepare MSF students for more advanced courses in finance. This course provides some basic knowledge of financial time series data. It also introduces models and methods widely used by academics and practitioners. The purpose of this course is to understand proper use and limitations of econometric methods in applied time series analysis.

Data Science & Python for Fin (FIN 558) Focuses on introducing Python for financial analysis. It provides a detailed understanding of Python basics. Students will apply Python in solving problems in corporate finance and performing investment analysis. Topics include capital budgeting decisions, equity valuation, risk and return, portfolio optimization, and technical trading strategies.

Data Science & Python for Fin. (FIN 580) Lectures and discussions relating to new areas of interest. See class schedule for topics and prerequisites.

Adv. Data Sci & Python for Fin (FIN 580) Lectures and discussions relating to new areas of interest. See class schedule for topics and prerequisites.

Data Science & Python for Fin (FIN 580) Lectures and discussions relating to new areas of interest. See class schedule for topics and prerequisites.