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MS Applied Economics & Predictive Analytics at University of North Dakota

University of North Dakota, United States

Programme overview

Gain data analytics skills grounded in economic perspectives. The Master of Science in Applied Economics & Predictive Analytics (MSAEPA) uniquely combines applied economics with hands-on predictive analytics, giving you both the theoretical foundation and practical skills to solve real-world problems using data. No GRE required!

Duration: 2 years (30 credit hours)  |  Study mode: full-time; online  |  Intake: Fall (May 15* | Aug. 1), Spring (Oct. 15* | Dec. 1)  |  Location: Grand Forks, ND, United States

What you will study

Students seeking the Master of Science in Applied Economics and Predictive Analytics (MSAEPA) degree through the Department of Economics & Finance at the University of North Dakota must satisfy all general requirements set forth by the School of Graduate Studies as well as particular requirements set forth by the Department of Economics & Finance. Required courses include ECON 416 Mathematics for Economists; ECON 504 Microeconomic Theory Applications; ECON 505 Macroeconomic Theory Applications; ECON 506 Econometrics (Econometrics); ECON 411 Economic Forecasting; ECON 510 Time Series Methods Applications.

Career pathways

Data analysts gather data, organize it and use it to write research and present meaningful conclusions. The type of work varies by the type of data being used, everything from sales to social media to inventory. The MSAEPA is ideal for those seeking careers in data analytics, data consulting and forecasting. A master's in applied economics puts you in a position to launch a career in: Economic Development, Strategic Planning, Consulting, Financial and Business Analysis, Applied Research, Cargill, Wells Fargo, Air Force.

Official programme page

Application information

Entry requirements

A four-year bachelor’s degree from a recognized college or university. An overall undergraduate grade point average of 2.75 or greater for all undergraduate work or a GPA of at least 3.0 for the junior and senior years of undergraduate work (based on A=4.0). Satisfy the School of Graduate Studies’ English Language Proficiency requirements as published in the graduate catalog. Complete undergraduate intermediate microeconomics, one semester of calculus, and one semester of probability and statistics, or equivalent with a minimum grade of C in each course and a minimum GPA of 3.00 on a 4.00 scale in the required courses. Any applicant who has not previously received credit in the intermediate microeconomics course but meets all other stated admission criteria, may be admitted on provisional status. In such a case, the student must complete our free online short course in intermediate microeconomics before admittance to full graduate status. Failure to address this condition could result in dismissal from the School of Graduate Studies.

Domestic applicants: USD 13,513 a year (2026-27). North Dakota resident rate. On-campus tuition for 2026/2027 as shown in the programme's tuition table (fall and spring semesters, rate band 'Business'); excludes mandatory student fees, housing and books. The same table lists Minnesota residents $17,162.6 Source

International applicants: USD 27,041 a year (2026-27). International student rate. On-campus tuition for 2026/2027 as shown in the programme's tuition table (fall and spring semesters, rate band 'Business'); excludes mandatory student fees, housing and books. Source

Terms run Fall (August-December), Spring (January-May) and Summer (May-August).

Graduate applications go through the UND admissions application with a $35 non-refundable fee (no waivers); each graduate program sets its own deadline, listed in the Program Finder. Three academic or professional references and a statement of goals are required.

International graduate applicants: Fall May 1, Spring Sept. 1, Summer Feb. 1, unless the program sets a specific deadline. Application fee $35.

Apply through the official page: https://und.edu/admissions/graduate/apply.html

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