University of Pittsburgh, Pennsylvania
Dietrich School of Arts and Sciences
University of Pittsburgh, Pennsylvania
Dietrich School of Arts and Sciences
8
Program Duration
Econometrics and Quantitative Economics
Degree Type
30
Course Credits
Master of Quantitative Economics is one of the best courses to choose from that offers
in-depth learning in a Econometrics and Quantitative Economics. An MS Degree in Econometrics and Quantitative Economics from the
University of Pittsburgh has consistently made its place among the top global universities.
International students prefer this course at the University of Pittsburgh due to its high graduate
employability rate.
University of Pittsburgh offers exceptional education quality, high-end practical learning
and ample work opportunities to its international students. After receiving their MS
Degree in Econometrics and Quantitative Economics from the University of Pittsburgh, students will be competent to
carry out extensive research work in the field.
The interactive curriculum, vast research opportunities and exceptional teaching
faculty at University of Pittsburgh offer students a life-altering learning experience. A
Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Econometrics and Quantitative Economics from the University of Pittsburgh is
a great choice for students who want to analyse the field in great depth.
Why Study Quantitative Economics at University of Pittsburgh
Official fee page
Annual tuition fees
$55,164 / year
Total tuition fees
$55,164 / 8 months
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Application Fee
$75
Test Score Requirements
Minimum english score required
IELTS
7
TOEFL
90
Duolingo
110
Minimum aptitude score required
GRE
Not Required
GMAT
Not Required
Application Pre-requisites
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Yocketer profiles
Aayushi Gupta
Masters in Quantitative Economics
Fall 2021
Aayushi Gupta
Masters in Quantitative Economics
Fall 2021
Sayeem Hasan Khan
ShortlistedMasters in Quantitative Economics
Fall 2024
Kanav Mehta
ShortlistedMasters in Quantitative Economics
Fall 2024
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