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Econometrics and Data Analysis Graduate Certificate

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Why Choose Econometrics and Data Analysis?

In today’s labor market, there is considerable demand for professionals who understand how to use and analyze economic data for business decision making. Whether you have recently graduated with a bachelor’s degree and are ready to improve your prospects in a rapidly growing career field or you are an established professional who needs to elevate your career in a dynamic world, the certificate in data analysis and economic analysis will help you take the next step on your journey.

You will engage in a four-course sequence to become better equipped with the skills necessary to integrate, create and analyze economic data. You will also have an opportunity to learn from a faculty of accomplished, research-active academics whose expertise focuses on data analysis. Courses are drawn from the Wright State economics department and other departments across campus that study  different domains of data analysis.

Complete the certificate, and you will be able to:

  • Analyze economic data using cutting-edge tools in statistics, regression analysis and forecasting.
  • Demonstrate proficiency with current software used throughout the chain of data collection, formating, and presenting. 
  • Present and communicate the contents of analysis, including their visualization. 
  • Understand the methodologies, limitations, and assumptions employed to perform data analysis in economics and other disciplines.


Some examples of career options in econometrics:

  • Agriculture analysis
  • Auditing
  • Compliance and regulatory affairs
  • Computer science or programming
  • Data analysis
  • Government
  • Healthcare
  • Insurance, pension, and personal finance modeling
  • Inventory steam modeling
  • Investment banking
  • Law enforcement/Secret Service
  • Logistics and infrastructure
  • Retail industry analytics
  • Statistics
  • Stocks trading
  • Teaching economics

Real-World Experience

You will learn from qualified professionals who actively work in the field of econometrics and work on significant projects, allowing you to apply your classroom education to real-world situations. Our award-winning faculty also work on cutting-edge research projects that impact the local, national, and global level.

Academics and Curriculum

View the econometrics and data analysis program requirements in the Academic Catalog.

All courses are offered either online or in evening face-to-face settings and the program can be completed in as few as 8 months. No prior experience with data analysis is required. The courses are for-credit, and credits can be transferred (subject to program admission) to different Wight State master’s degree programs, including the Master of Social and Applied Economics, Master of Information Systems, or the Master of Science in Marketing Analytics and Insights. To complete the program, you need at least 12 hours of coursework from the following courses:

Required courses in the certificate program are (3 credits each):

  • EC 7090: Econometrics and its Applications
  • EC 7120: Time Series Analysis and Economic Forecasting

You must also complete (2) of the following elective courses/course sequences:

  • EC 7400: Cost-Benefit Analysis
  • EC 7770: Economic Studies (when covering quantitative topics). 
  • MIS 7100: Data-Driven Businesses and Organizations
  • MIS 7600: Business Data Visualization
  • MBA 7600: Marketing Strategy, and one of the following
  • MKT 7800: Marketing Analytics or 
  • MKT 7820: Marketing Analytics: Tools and Insights
  • GEO 6430: Geographic Information Science Principles and
  • GEO 6440: Advanced Geographic Information Applications


  • Proof of bachelor’s degree from an accredited college or university
  • Prerequisite courses: College-level statistics (MBA 5800 or equivalent) and calculus (EC1050 or equivalent) with a grade of C or higher.


Take the Next Step

Finding the right college means finding the right fit. See all that the Raj Soin College of Business has to offer by visiting campus.