M.S in Data Science and Quantitative Economics Learning Goals

The master's in data science and quantitative economics program enables students to attain, by the time of graduation:

• A background in economic theory through instruction in ECON 6010 Microeconomic Theory I and ECON 6020 Macroeconomic Theory I.
• Updated skills in math and statistics through CISC 5450 Mathematics for Data Science or ECON 5710 Mathematical Analysis in Economics, and through ECON 6910 Applied Econometrics or ECON 6950 Financial Econometrics.
• Advanced technical skills to build and assess computational models and apply data science concepts and methods to economics data through CISC 5790 Data Mining and CISC 5800 Machine Learning.
• An understanding of the theoretical framework of big data processing and hands-on experience in big data analytics and its applications.
• An ability to effectively communicate data science-related information to any audience and transform findings into actionable solutions to real-world problems.
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