Program Overview
Program Overview
The University of Copenhagen offers a comprehensive program in Econometrics, designed to provide students with a thorough understanding of econometric methods and their applications in analyzing economic problems.
Program Description
The program focuses on the use of econometric models, particularly the linear regression model, to analyze economic data. Students will learn to specify, estimate, and test econometric models, as well as interpret the results. The program covers both cross-sectional and time-series data analysis, with an emphasis on practical applications.
Learning Objectives
Upon completing the program, students will be able to:
- Explain fundamental econometric concepts related to the linear regression model
- Describe the assumptions underlying the linear regression model
- Perform estimation using the ordinary least squares (OLS) method
- Interpret the results of linear econometric analyses
- Apply econometric methods to analyze economic problems
Program Structure
The program consists of a combination of lectures, exercises, and project work. Students will work on six homework assignments, which will be evaluated as part of the program. The program is taught in Danish, with some parts conducted in English.
Assessment
The program is assessed through a 14-day written exam, which accounts for 100% of the final grade. Students must also complete and pass five out of six homework assignments to be eligible for the exam.
Program Details
- ECTS credits: 7.5
- Level: Bachelor
- Duration: 1 block
- Language: Danish (with some parts in English)
- Department: Department of Food and Resource Economics
- Faculty: Faculty of Science
Admission Requirements
Students must have competencies equivalent to LMAB10066 (Mathematics and Data Processing) and LMAB10069 (Statistical Data Analysis 1).
Career Opportunities
The program provides students with a solid foundation in econometrics, preparing them for careers in economic analysis, research, and policy-making. Graduates can pursue roles in government, private sector, or non-profit organizations, applying their skills to analyze and solve economic problems.
