Master of Science [M.S] (Quantitative Economics)
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10 months
Full Time
On Campus
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$19,476 /Yr
- The MS in Quantitative Economics delivers structured thinking about empirical problems and incentives. The program integrates econometrics, machine learning, experimentation, and the hands-on analysis of real-world data, guided by Economic Theory.
- This intensive MS in Quantitative Economics is ideal for those looking to obtain advanced skills for careers in the private and public sectors, or ramp up quantitative skills for PhD programs.
- This full-time, ten-month MS in Quantitative Economics program prepares students for careers working in big data environments. Students enjoy small classes, with courses taught by nationally recognized scholars dedicated to student success.
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| Year | 1st Year Fees |
|---|---|
| Tuition Fees | $19476 |
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| 3PAU4M | N4s6oj |
|---|---|
| 2023 | $19974 |
| 2022 | $25650 |
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- Statement of purpose: Summarize your career objectives, experience and reason for interest in this degree program
- Resume: A resume including education, employment, extracurricular/community activities, publications, if any, and memberships
- Letter of recommendation: Two (2) confidential letters from a professor or manager/supervisor
- Test scores: In light of the COVID-19 pandemic, the MS Quantitative Economics program will not require applicants to take the GRE/GMAT for the Fall 2022 cycle, however students should feel free to submit their scores if they feel it would help their application.
- Official score reports must be sent to institution code R4038.
- Undergraduate transcript(s): Graduate applicants must send official transcripts (from degree granting institution), including work in progress course work by the application deadline. Transcripts must be sent directly from your former institution.
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( #46 zwSAGC 126 JxhWxU USA 2019)
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Graduates go on to secure jobs as Economists, Analytic Consultants, Data Analysts and Data Scientists in Consulting, Finance, Banking, Technology, Governmental Organizations, and Academia.
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