M.S. Statistical and Economic Modeling

The MSEM program will not be accepting applications for Fall 2018. If you are interested in studying economics and/or statistics at Duke, please consider applying either to the M.S. in Statistical Science or the M.A. in Economics. Both of these programs have flexible curricula that permit students to take some courses in both areas.

The M.S. Statistical and Economic Modeling (MSEM) program combines the strengths of the Departments of Economics and Statistical Science to educate students in statistical skills linked to economics, finance, and related areas, and to prepare them for Ph.D. studies or careers in quantitative economics, finance, government, and business. The focus is on theory and methods of statistical science and economics, computational statistics, Bayesian statistics, and interdisciplinary applications.

Students with backgrounds in statistics, mathematics, and physical sciences will gain a rigorous introduction to graduate economics, finance, or other quantitative social sciences. For social science majors, this program expands statistical and economic modeling expertise, and the accompanying mathematical skills necessary for doctoral study and research.

Degree Requirements

DOWNLOAD: MSEM Degree Requirements Checklist (2015 matriculants)MSEM Degree Requirements Checklist (2016 matriculants)

  • 36 credits in statistics and economics, not including preparatory courses.
  • Capstone course (3 credits), with a grade of B or better
  • Applied experience to demonstrate skills in applied work in statistics and economics through one or more of the following options:
    • Detailed, graded course-related project in an application area approved by the student's advisor.
    • Period of practical experience in an internship while registered for the MSEM program.
    • Prior work experience judged acceptable by the MSEM directors following consultation with the student.
  • Completion exercise: Each student has a completion meeting with his/her committee, involving presentation and discussion of either a portfolio of completed work from course projects and papers, and/or a summary of applied work from an internship, and/or an independent study project mentored by faculty member or members from the two departments. The completion exercise is reviewed and approved for master’s credit by the faculty advisor(s) in consultation with the MSEM directors.
  • Responsible Code of Research (RCR) training
  • (For International Students) English Language Proficiency

Course Details

A maximum of 6 credits (two courses) may be undergraduate courses at the 200-level or above (200-499), subject to academic advisor approval. Students must receive a grade of B- or better to have such courses counted as part of their earned graduate credit.

STEM Designation

This degree program classifies as STEM (CIP Code 45.0603: Econometrics and Quantitative Economics), and students in this program can apply for a 24-month STEM extension of F-1 Optional Practical Training (OPT).