Joint SAS Certificates

What You'll Study

In 2017, Department of Economics signed an agreement with SAS Inc. to create the Joint Certificate Programs for both undergraduate and graduate degrees. Now, YSU is one of six Universities in Ohio that offer the SAS Joint Certificate Programs. Such programs prepare students with programming skills in data analytics with real-world business applications and give students a competitive advantage in the job market.

The joint SAS certificate program includes a minimum of 12 credit hours and at least half of the courses must use SAS extensively. To fulfil the certificate requirements, students need to complete a project using real economic or business data and conduct all the empirical analyses in SAS.

To earn the joint SAS certificate, students are required to satisfactorily complete the following courses

Undergraduate Certificate

Note 1: no additional exams are required for earning the certificates.

Note 2: the average GPA of the required courses should be at least 3.0 and at most one course is allowed to have the lowest grade C.

For more information, please contact Dr. Ou Hu at ohu@ysu.edu or 330-941-2061.

  • ECON 3789 or 3790 (or BUS 3700 or STAT 3743): Statistics for Business and Economics

    Specific topics include hypothesis testing, regression analysis, ANOVA and time series analysis. Practical application of statistical procedures is incorporated into regularly scheduled computer workshops. 

    3 Credit Hours

  • ECON 3710: Intermediate Microeconomics or ECON 3712: Intermediate Macroeconomics

    A systematic analysis of the theory of demand and the theory of the firm: production input and output choices, and some basic concepts of linear programming. An intensive analysis of the theory of the firm: competitive pricing, monopoly pricing, pricing in imperfect competition; and the theory of rent, profits, interest and wages.

    3 Credit Hours

  • ECON 5861: Data Analytics – SAS Base Programming

    An introduction to SAS programming for data analytics. Topics include using SAS for data processing, manipulation, visualization, reporting, and statistical analysis. The objective is for students to develop statistical computing skills for problem solving and decision making.

    3 Credit Hours

  • ECON 4880: Analysis of Economic Problems

    The application and extension of the student's skills in economic analysis and statistical techniques to economic issues. The course covers sources of data, exploratory data techniques, matching of data and statistical tests, interpretation and presentation of the results. Students demonstrate their command of research techniques by the completion of a research paper and its oral presentation. Topics to be determined.

    3 Credit Hours

Graduate Certificate

  • ECON 6976: Econometrics

    Study of the fundamentals of econometric techniques that are useful for estimating causal economic relationships. The objectives include (1) analysis of the effects of exogenous factors on the variable whose behavior we seek to explain, (2) testing of hypotheses about new and existing economic theories, and (3) forecasting estimated economic relationships beyond the sample period for the purpose of planning and control. The course will focus on the practice of econometrics with extensive applications to a variety of real-world problems in many areas of economics.

    3 Credit Hours 

  • ECON 5861: Data Analytics – SAS Base Programming

    An introduction to SAS programming for data analytics. Topics include using SAS for data processing, manipulation, visualization, reporting, and statistical analysis. The objective is for students to develop statistical computing skills for problem solving and decision making.

    3 Credit Hours

  • ECON 6992: Data Analytics – SAS Advanced Programming

    This coures is designed to provide students training of advanced SAS programming for data analysis. Main topics include SQL, Macro language, Econometrics-related procedures, working with large data set, etc.

    3 Credit Hours

  • ECON 6998: Research Seminar

    Applied quantitative research techniques will be discussed. Students are required to undertake an original quantitative research project in a field of economics and write a paper summarizing their results. 

    3 Credit Hours