The Master in Economics and Computation at Duke University brings together training in economics and computer science to help students analyze economic problems using modern computational methods and data-driven approaches.It is well-suited to applicants interested in computational economics, empirical research, and algorithmic thinking—whether your background is stronger in economics, computing, or both.
The Master in Economics and Computation at Duke University offers a unique blend of economics and computer science training, equipping students with the skills to tackle economic challenges through modern computational methods and data-driven strategies. This program is ideal for those with interests in computational economics, empirical research, and algorithmic thinking, regardless of whether their background lies more in economics, computing, or a combination of both.
The curriculum is designed to integrate graduate-level economics, econometrics, and computer science. Students will engage in a range of core and advanced courses while also having opportunities to enhance their knowledge through workshops and specialized topics.
Note: The specific course sequence and term-by-term plan may vary. It is advisable to verify the current academic plan with Duke's program office.
Documents to prepare: Ensure you have transcripts, test scores, a Statement of Purpose, resume, recommendation letters, and an interview/video introduction ready for submission.
Graduates of the Master in Economics and Computation program are well-prepared for a variety of career paths in economics, data analysis, and technology. The interdisciplinary nature of the degree opens doors in sectors such as finance, consulting, government, and academia, where analytical and computational skills are highly valued.
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