Master of Science in Economics Data Analytics دراسة University of Texas

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- نظرة عامة
خيارات الدراسة
شروط القبول
- دولي

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The Master of Science in Economics Data Analytics is a STEM-designated program that teaches advanced data and communication skills necessary for providing the empirical support data analysts need to make business decisions.Offered weeknights in Arlington, the MS in Economics Data Analytics program is designed to provide students with the ability to think critically and solve data-driven problems.Students enrolled in this program will focus on how to work with economic data important in business and government decisions, and logically explain insights gained from analyses.The program offers a 10-course, 30-hour curriculum highly focused on the development of relevant economic theory and empirical tools needed by successful analysts.

خيارات الدراسة

دوام كامل (4 فصول دراسية)

رسوم التسجيــل

US$23,486.00 سنوياً

International Education Fee- 4 per term

* السعر الظاهر هو سعر توضيحي، يرجى تواصل مع الجامعة

الموعد النهائي للتسجيل

متوقع August 2027

تاريخ البدء

يناير 2027

مكان عقــد الدورة

Arlington Campus

701 S. Nedderman Drive,

Arlington,

Texas,

76019, South, United States

دوام كامل (4 فصول دراسية)

رسوم التسجيــل

US$23,486.00 سنوياً

Transportation: - 3280

* السعر الظاهر هو سعر توضيحي، يرجى تواصل مع الجامعة

تاريخ البدء

أغسطس 2027

مكان عقــد الدورة

Arlington Campus

701 S. Nedderman Drive,

Arlington,

Texas,

76019, South, United States

شروط القبول

للطلاب الدوليين

A bachelors degree from an accredited general or specific program.
An acceptable undergraduate GPA as calculated by Graduate Admissions (approximately the last 60 hours), generally greater than a 3.0 on a 4.0 scale.
An acceptable score on the GRE or GMAT. Successful students generally have a minimum score of 148 (600 old GRE scale) on the quantitative section and 150 (450 old GRE scale) on the verbal section of the GRE or a minimum score of 480 on the GMAT.
Grades in specified undergraduate business and non-business courses (e.g., math, accounting, economics, statistics).

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