Big Data Analytics in Finance (FIN 550) Examines methods in big data analytics for financial and economic analysis. Students design and conduct independent empirical research using tools such as machine learning, regression, randomized trials, and quasi-experiments. Emphasis is on distinguishing correlation from causation, developing reproducible workflows, and critically evaluating analytic strategies. Prepares students for advanced professional and research roles requiring independent judgment and defense of methodological choices in data-rich environments.

Financial Data Mgt. & Analysis (FIN 557) Proper data handling and management is essential to the success of data analysis. The primary goal of this course is to learn principles and practices of data management with an emphasis on working with financial databases. Students will gain practical skills in data storage, data preparation, and data extractions that eventually lead to data analysis. Data management procedures including SQL queries, and data analysis techniques using large-scale statistical software are presented.

Adv. Data Sci & Python for Fin (FIN 559) Provides an advanced understanding of Python and data analytics tools to solve problems in finance. Students will analyze data and solve real-world problems such as investigating market responses to earnings announcements, comparing value and growth investing, forecasting stock prices, predicting bankruptcy, and estimating house prices.