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100% online
10 Credit Hours

Business & Economics Data Analytics Graduate Certificate

Program Highlights

  • 100% online
  • 10 Credit Hours
  • Taught by acclaimed Krannert faculty 
  • Credit earned towards Online MS/MBA degree
  • Graduate Certificate is an earned academic credential that enhances ROI

The Business and Economics Data Analytics certificate provides students the opportunity to learn how to find solutions to economic issues using analytical approaches. With a wide selection of cutting-edge economics and analytics courses including Advanced Python Programming, Applied Game Theory, and Data Mining, taught by Krannert’s leading faculty members, students will be able to further equip themselves with the quantitative skills necessary to enhance their career outcomes.

 The Business Economics and Data Analytics certificate program requires the completion of the outlined curriculum of 10 credit hours with a 3.00 GPA to receive the Business Economics and Data Analytics Graduate Certificate.

Required Courses
ECON 50100

Statistical Analysis for Economists

2 crs.
ECON 56200 Econometrics I 3 crs.

Students must select 3 courses below with at least 1 course from each elective list for a total of 6 credits:

List 1

ECON 51000 Game Theory 2 crs.
ECON 57300 Financial Econometrics 2 crs.
ECON 57400 Micro econometrics 2 crs.
ECON 57600 Statistical & Machine Learning 2 crs.
ECON 59000/57700 Quantitative Economics with Python 2 crs.

List 2

MGMT 57000 Spreadsheet Modeling 2 crs.
MGMT 57100 Data Mining 2 crs.
MGMT 59000 Visualization and Persuasion 2 crs.
MGMT 68300 IT for Innovations 2 crs.

The Business & Economics Data Analytics Graduate Certificate can be completed in 4 semesters.

*Estimated plans of study listed below are not guaranteed. Completion time and course offerings are subject to change.

Fall Start: 4 semesters
FALL MOD 1 ECON 50100 Statistical Analysis for Economists
FALL MOD 2 MGMT 57100 Data Mining
SPRING MOD 1 MGMT 57000 Spreadsheet Modeling
SPRING MOD 2 ECON 59000/ 57700 Advanced Programming with Python
SUMMER MOD 1 Gap Gap
SUMMER MOD 2 Gap Gap
FALL MODS 1 & 2 ECON 56200 Econometrics I

Spring Start: 4 semesters
SPRING MOD 1 ECON 59000/ 50100 Statistical Analysis for Economists
SPRING MOD 2 ECON 59000/ 57700 Advanced Programming with Python
SUMMER MOD 1 MGMT 59000 Visualization and Persuasion
SUMMER MOD 2 Gap Gap
FALL MODS 1 & 2 ECON 56200 Econometrics I
SPRING MOD 1 ECON 57000 Spreadsheet Modeling