M.Sc. in Economic Data Analytics, University of Texas Arlington

Organizations have low-cost computer time, huge quantities of data, and access to software tools that allow data analysis. The problem in using these assets is a shortage of qualified empirical analysts. One must know how to find data, be critical of it, develop it by use of software packages, and explain what has been learned by analysis through the lens of economic theory. Advances in econometrics analysis allow us to better understand key issues, such as pricing and cost, inventory management, population trends, and other issues that impact business and government.;The focus of the MS in Economic Data Analytics programme offered by University of Texas Arlington is on quantitative analysis based on economic logic. It is a 10-course, 30-hour program highly focused on development of relevant economic theory and empirical tools needed by successful analysts.;Visit the official programme website for more information;Outcomes;Graduates of this program are expected to develop knowledge and competencies needed to contribute to data analysis in public policy and private/business fields. An economic theoretical framework is a key part of the program, but the coursework also focuses on the empirical skills required to effectively extract/scrape data from the web and various private and public sources, and carefully analyze it to uncover patterns/trends, and answer significant data-driven real-life questions, relevant to both local and global environments.