The econometrics specialization seeks to strengthen the professional profile of their students through the application of quantitative tools and the use of the specialized software for the analysis of data.
The curriculum in econometrics is pioneer in the region and offers to the economist and professionals of others disciplines the possibility to incorporate the statistical and econometric analysis in decision making. Similarly, develops skills necessaries to lead the creation process, analysis, and presentation of information in public and private organizations.
Because it is a program with an applied approach, counts whit a big component dedicated to the use and programing of statistic software like, Excel®, Stata®, ArcGIS ®, EViews®, etc. Similarly, it addresses issues of analysis with cross-sectional data: Microeconometrics, spatial econometrics and impact evaluation and the analysis of time series: macroeconometrics, financial econometrics and panel data models.
The econometrics specialization counts whit a calculus and algebra foundation leveling for those professionals who do not have a background in mathematics or economics.
Master continuation: Upon completion of the specialization, the student can continue the studies in the economics master of the Universidad Externado de Colombia. It is important to highlight that once the specialization is completed, students have up to two years to decide if they want to continue with the master’s degree.
Discount policy: The Externado University offers a discount policy for university graduates and postgraduates. More information here
The econometrics specialization curriculum is directed at professionals from different areas of knowledgewho, in their work or research performance, require updating their knowledge or approaching econometric analysis and the management of statistical programs for the first time.
At the end of the econometrics specialization program, the participants will have the technical capacity to handle analytical methods and measurement instruments to solve quantitative problems in their professional or investigative performance, to carry out empirical applications, to audit results of quantitative studies or to interpret econometric writings.