K1: Acquire and apply the knowledge, skills, and techniques of the discipline of political science, using the appropriate terminology and the appropriate scientific method C3: Know how to choose and use the different methodologies of political science and its subdisciplines for the understanding of past and future political phenomena C4: Be able to dedicate themselves to lifelong autonomous learning, which allows them to adapt to new situations in the professional environment S2: Plan and organize teamwork by making the right decisions based on available information and gathering data in digital environments. S3: Use the information by interpreting relevant data avoiding plagiarism, and in accordance with the academic and professional conventions of the area of study, being able to evaluate the reliability and quality of such information. S4: Be able to apply the scientific method to social, political, and economic questions both domestically and in a globalized society S7: Apply computational tools and specific software for the analysis of political, social and economic problems in the international context. S8: Ability to gather and interpret data and knowledge relevant to the development and defense of arguments on topics in their area of study S9: Ability to discern which quantitative or qualitative research techniques are appropriate to apply depending on the phenomenon being analysed

The subject Research Techniques in Political Science aims to train and apply quantitative methods to social research. Based on the fact that in previous courses training in basic research methodology has already been given, as well as training in statistics, this subject seeks to implement this knowledge in databases of Political Science ¿ surveys, polls, electoral data, etc. ¿ and to introduce more advanced methodologies in the field of quantitative research. Likewise, it is in this subject where students are trained in the use of advanced statistical software (R) for data analysis. Political Science Research with Quantitative Databases: Towards Big Data Data Analysis in R Advanced Descriptive Statistics The importance of correlation in Political Science Analysis of political and electoral polls Inferential statistics Implementing Inferential Statistics in Survey Data From correlation to causality and the experimental method Advanced Quantitative Analysis in Political Science: Text Analysis

A1 FACE-TO-FACE MASTER CLASSES A2 FACE-TO-FACE CLASSES: REDUCED (WORKSHOPS, SEMINARS, CASE STUDIES) A3 INDIVIDUAL STUDENT WORK A4 FINAL EXAM