Teaching GuideTerm
Faculty of Sociology
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Máster Universitario en Métodos Avanzados de Investigación e Innovación na Análise Social
 Subjects
  Big Data for the Social Sciences
   Study programme competencies
Code Study programme competences
A1 C1. Know in detail the main theoretical and practical advances in qualitative and quantitative research and their application - critical, reflective and contextual - to understand, define and explain highly complex and uncertain phenomena associated with current social, economic and political challenges .
A6 C6. Deal with the theoretical and scientific foundations necessary to carry out quantitative and qualitative social research using advanced technological tools (R).
A7 C7. Recognize the different options for presenting and displaying research results and their methodological foundations to clearly convey the results of the research to different audiences.
A8 C8. Know the modes and potentialities of using mass data and data mining in the context of social sciences.
A11 H1. Evaluate and select the appropriate methodological paradigm (quantitative, qualitative, mixed, prospective, participatory) to formulate judgments based on incomplete or limited information on phenomena associated with social, economic and political challenges.
A14 H4 Transmit the results of basic and applied research, as well as the most relevant foundations on which they are based, clearly and unambiguously, taking into account the diversity of contexts, audiences and needs, using different presentation and display options.
A15 H5 Carry out qualitative and quantitative research in R.
A16 H6 Develop the ability to plan research, correctly choosing the phases and procedures that guarantee maximum rigor and that are suitable for different contexts within the public or private sphere.
A17 H7 Acquire the ability to continue delving into research and analysis methods in a way that will be largely self-directed and autonomous.
A19 H9 Develop an advanced capacity to evaluate the quality and results of research processes.
A20 CP1. Contrast the importance of the existing methodological diversity for the analysis of the social, political and economic reality, addressing different complex problems of current societies through creative and innovative solutions.
A22 CP3. Develop and implement research projects in new or little-known environments.
A24 CP5. Being able to work with data sources, scientific research methodologies and techniques, and advanced computer tools typical of the social sciences.
A27 CP8. Design and execute a research project based on the use of Big Data for scientific purposes, making original contributions to the field of study.
A28 CP9. Obtain, manage and analyze mass databases using the necessary computer tools and programming languages, especially R.
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