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University of Texas Arlington Master of Science in Economics Data Analytics
University of Texas Arlington

Master of Science in Economics Data Analytics

Arlington, USA

18 up to 24 Months

English

Full time

Request application deadline *

Request earliest startdate

USD 11,044 **

On-Campus

* The priority deadline for a fall start is March 15. However, some doctoral programs may have earlier application priority dates. Applications are still accepted after the priority date for each term but submitting your application before the priority deadline increases your chances for being accepted into your program of choice.

** For the 2022-2023 academic year.

Key Summary

    About: The Master of Science in Economics Data Analytics focuses on the integration of economics with data analysis techniques. The program aims to equip students with essential skills in statistical methods, econometrics, and computer programming, enabling them to analyze economic data effectively. Students will engage in projects that apply theoretical concepts to real-world economic scenarios, preparing them for challenges in data-driven environments.
    Career Outcomes: Graduates can pursue various roles in fields such as data analysis, economic consulting, market research, and financial analysis. Opportunities exist in both private and public sectors, including positions as data scientists, policy analysts, and quantitative analysts.

Introduction

Overview

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 to need to make business decisions.

About The Program

  • 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.

Career Opportunities

  • Data Scientist
  • Quantitative Analyst
  • Production and Sales Forecaster
  • Pricing Strategist

Why Choose Us?

  • No. 38 Economic Data Analytics program n North America (Eduniversal 2021)
  • Completion in just 16 months
  • The first program in Texas for graduates to be eligible to take the Certified Business Economist exam
  • $73,000 average first-year salary for graduates
  • AACSB accredited (top 5% of business programs globally)
  • College of Business alumni network of over 55,000 and counting

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Curriculum

The MS in Economic Data Analytics program focuses on the major growth area of data analytics. Hal Varian, the chief economist at Google, has explained why the demand for data analysis is growing rapidly. Organizations have low-cost computer time, huge quantities of data, and access to software tools that allow data analysis. The problem in using these assets is a shortage of qualified empirical analysts. One must know how to find data, be critical of it, develop it by use of software packages, and explain what has been learned by analysis through the lens of economic theory. Advances in econometrics analysis allow us to better understand key issues, such as pricing and cost, inventory management, population trends, and other issues that impact business and government.

The focus of the MS in Economic Data Analytics program is on quantitative analysis based on economic logic. It is a 10-course, 30-hour program highly focused on the development of relevant economic theory and empirical tools needed by successful analysts.

There are eight required courses and two electives as indicated in the list of courses:

  • ECON 5314 -- ECONOMIC ANALYSIS FOR BUSINESS DECISIONS -- 3
  • ECON 5336 -- APPLIED BUSINESS AND ECONOMICS DATA ANALYSIS I (*) -- 3
  • ECON 5342 -- ADVANCED BUSINESS AND ECONOMICS COMMUNICATION (3,0) -- 3
  • ECON 5327 -- MONETARY POLICY AND FINANCIAL SYSTEM ANALYSIS -- 3
  • ECON 5339 -- APPLIED BUSINESS AND ECONOMICS DATA ANALYSIS II -- 3
  • ECON 5341 -- ADVANCED BUSINESS AND ECONOMIC DATA ANALYTICS -- 3
  • ECON 5337 -- BUSINESS & ECONOMIC FORECASTING -- 3
  • ECON 5343 -- CAUSAL INFERENCE FOR BUSINESS DECISIONS -- 3
  • INSY 5336 -- PYTHON PROGRAMMING -- 3

or BUSA 5344 -- SAS TOOLS FOR BUSINESS AND ECONOMICS

or BUSA 5345 -- R FOR BUSINESS AND ECONOMIC ANALYSIS

or BUSA 5322 -- DATA ANALYTICS WITH PYTHON AND MACHINE LEARNING

Electives: The student may select any economics course above the 5300 level excluding ECON 5311 and ECON 5313 and any specific ECON courses listed for the program. The student may also choose one elective course with the permission of the graduate advisor. --ย 3

Total Hours -- 30

Admission Requirements

The focus of the MS in Economic Data Analytics program is quantitative data analysis using economic logic to interpret data. It is a 10-course, 30-hour program highly focused on developing expertise with empirical tools needed for successful data analysis and presentation.

Admission to the MS in Economic Data Analytics is based upon the completion of the general admission requirements of the Graduate Admissions Office. For admission to the MS Economics program, a score on either the Graduate Management Admission Test (GMAT) or the Graduate Record Examination (GRE) and a record of oneโ€™s academic undergraduate performance are required. Students for whom English is not their native language must meet language standards set by UTA on the TOEFL or IELTS. International applicants who score below minimum acceptable levels on the verbal portion of entrance examinations may be admitted under the condition that they pass an English proficiency exam or complete UT Arlingtonโ€™s Graduate English Skills Program prior to beginning graduate coursework. Applicants are encouraged to submit with their application a resume that highlights professional and personal accomplishments, linguistic abilities, computer expertise, and leadership experience. A standardized test score (GMAT or GRE) will not be used as the sole criterion for admitting applicants or the primary criterion for denying admission to the MS in Economic Data Analytics program.

The GRE/GMAT test requirement for admissions to the M.S. in Economic Data Analytics program can, under extraordinary circumstances, be waived at the discretion of the department if the applicant already has been awarded a terminal graduate degree from a regionally or professionally accredited program. Waiver of this requirement is rare and will only be made at the discretion of the Department.

Multiple criteria are used to make admission decisions.

  1. A bachelorโ€™s degree from an accredited general or specific program.
  2. 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.
  3. 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.
  4. Grades in specified undergraduate business and non-business courses (e.g., math, accounting, economics, statistics).
  5. For applicants whose native language is not English, see UT Arlingtonโ€™s requirements.
Read more on the institution's website

English Language Requirements

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