Master of Science in Economic Data Analytics
About This Program
The Master of Science in Economic Data Analytics equips students to perform quantitative analysis based on economic logic. It emphasizes development of relevant economic theory and empirical tools needed by successful analysts.
Competencies
- Economics students will demonstrate knowledge of how to apply economic theory to make business decisions.
- Economics students will demonstrate a working knowledge of Econometrics, including the ability to interpret, critique, and estimate empirical models of economic behavior.
- Economics students will demonstrate an ability to capture, cleanse, and analyze data for making business decisions.
Admissions Criteria
The Economics Graduate Advisor reviews all applications and determines if they qualify for unconditional admission. Applicants who do not satisfy the conditions for admission are referred to the Economics Admissions Committee for consideration.
An applicant whose native language is not English must demonstrate a sufficient level of skill with the English language to assure success in graduate studies as defined in the TOEFL and IELTS Test Score Minimums section under Admissions Requirements and Procedures in the Catalog.
UNCONDITIONAL ADMISSION without committee review
Applicants qualify for unconditional admission without the need for review by the Economics Admissions Committee if they meet one of the following conditions.
- Applicant has a bachelor's degree from an accredited college or university in a related or sufficiently quantitative field with a minimum GPA of 3.0 in the last 60 hours of undergraduate work
- Applicant has a bachelor’s degree from an accredited college or university in a related or sufficiently quantitative field and scores at the 60th percentile or higher on the quantitative section of the GRE or GMAT.
- Applicant has a graduate degree from an accredited college or university in a related or sufficiently quantitative field with a minimum GPA of 3.0. Examples of quantitative fields are economics, data science, finance, marketing, business, and sociology. Examples of sufficiently quantitative fields are mathematics, statistics, physics, computer science, actuarial science, and engineering.
ADMISSION with committee review
The Economics Admissions Committee will grant Unconditional Admission, Probationary Admission, Deferred Admission, or Deny Admission on the basis of holistic evaluation of the following factors. Weakness in some factors can be offset by strengths in other factors, and no single factor will be the sole criterion determining admissibility.
- Undergraduate and graduate record (number of quantitative course taken and grades earned in those courses, overall GPA, and GPA for the last 60 hours) and program accreditation status of the applicant's degree-granting institution.
- Ideally, an applicant will have taken at least 5 quantitative courses, which could include statistics, data analysis, calculus, or other math-intensive courses.
- Score on the quantitative section of the GMAT/GRE, if taken.
- Professional work experience.
- Personal statement provided by the applicant addressing reasons for pursuing a graduate degree in Economic Data Analytics and reasons for any GPA deficiencies in previous undergraduate or graduate coursework.
- Letters of recommendation from individuals who can evaluate the applicant’s academic potential and readiness for graduate study in economics.
Probationary ADMISSION
If applicants do not meet the standards listed for unconditional admission, they will be considered for probationary admission after holistic examination of their application materials. Probationary admission requires that an applicant earn no grade less than a B in the first 9 hours of graduate coursework at UT Arlington.
Deffered ADMISSION
A deferred decision may be made when an applicant’s file is not sufficiently complete to make an admission decision, or when an applicant needs to improve certain criteria to enhance their competitive status for future admission consideration.
Denial of Admission
For an applicant lacking sufficient evidence to indicate potential for academic success as an Economic Data Analytics student, admission will likely be denied. All applicant data will be carefully reviewed before an admission denial is made.
Curriculum
| Foundations | ||
| ECON 5300 | ADVANCED COMMUNICATION FOR BUSINESS AND ECONOMIC PROFESSIONALS | 3 |
| ECON 5314 | ECONOMIC ANALYSIS FOR BUSINESS DECISIONS | 3 |
| ECON 5317 | DATA VISUALIZATION | 3 |
| ECON 5327 | MONETARY POLICY AND FINANCIAL SYSTEM ANALYSIS | 3 |
| ECON 5336 | APPLIED BUSINESS AND ECONOMICS DATA ANALYSIS I 1 | 3 |
| ECON 5337 | BUSINESS & ECONOMIC FORECASTING | 3 |
| ECON 5339 | APPLIED BUSINESS AND ECONOMICS DATA ANALYSIS II | 3 |
| ECON 5341 | ADVANCED BUSINESS AND ECONOMIC DATA ANALYTICS | 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 | |
| Total Hours | 30 | |
- 1
Course may be waived in favor of an elective if student has completed ECON 3318 and 4318 with a B or better. Must be approved by the graduate advisor.