The Master’s Program in Statistical and Economic Modeling (MSEM) combines the strengths of the Departments of Statistical Science and Economics to educate students in statistical skills linked to economics, finance, and related areas, and to prepare graduates for PhD studies or research careers. The focus is on theory and methods of statistical science and economics, computational statistics, Bayesian statistics, and interdisciplinary applications.
Aimed at students with backgrounds in the mathematical sciences and the quantitative physical and social sciences, MSEM provides its students cutting-edge coursework and research opportunities leading to further academic study or careers in quantitative economics, finance, government, and business.
For social science majors, this program expands statistical and economic modeling expertise, and the accompanying mathematical skills necessary for the doctoral study and research; those with backgrounds in statistics, mathematics, and physical sciences will gain a rigorous introduction to graduate economics, finance, or other quantitative social sciences.
MSEM is a competitive program, with a small number of students entering the program annually. Students will study statistics and economics concurrently, writing a thesis based on an individual research project. The degree emphasizes computational statistics and econometrics in a variety of applications including, for example, financial econometrics, macroeconometrics, public policy, production of national economic statistics and data, Bayesian statistics, and application of estimation techniques.
For Fall 2012: January 30, 2012