Master's Degree in Data Analysis Techniques for Research in the Humanities and Social Sciences

Study the Master’s Degree in Data Analysis Techniques for Research in the Humanities and Social Sciences. The Master’s Degree in Data Analysis Techniques of University of Andalusia aims to understand new technologies as resources for research in the Humanities and Social Sciences.

  • Ability to use different research methodologies that combine traditional methods with tools from the Digital Humanities.
  • Ability to analyze complex phenomena of humanistic disciplines through the application of GIS data analysis techniques.
  • Mastery of the main reference systems.
  • Proficiency in the use and localization of geographic information.
  • Ability to synthesize and understand statistical results.
  • Knowledge of the main statistical techniques applied to the areas of Humanities and Social Sciences.
  • Ability to handle free statistical software.
  • Ability to master GIS tools for the design, management and exploitation of geographic information to enable GIT solutions in spatial analysis.

The syllabus of the Master’s Degree Education in Data Analysis Techniques for Research in Humanities and Social Sciences is as follows:

DESCRIPCIÓN DEL PLAN DE ESTUDIOS

NUMBER OF TOTAL ECTS CREDITS

Mandatory:

Electives:

Final Paper:

External internships

48

0

12

Curriculares:

Extracurricular:

6.2 STRUCTURE OF THE COURSE (distribution of the curriculum in ECTS credits, by module and subjects/subjects)

Module

Module coordinator

Subjects/Subjects that comprise it

Nº ECTS

onsite

onsite

No. of ECTS

online

I.- BASIC THEORETICAL CONCEPTS FOR RESEARCH IN THE HUMANITIES AND SOCIAL SCIENCES

DR. ANTONIO GARRIDO ALMONACID

1.- Research in Humanities and Social Sciences. The Future of Digital Humanities. DRA. MARÍA MARCOS COBALEDA. UNIVERSIDAD DE MÁLAGA

2.- Geographic information: concept and availability. DR. ANTONIO GARRIDO ALMONACID. UNIVERSIDAD DE JAÉN.

3.- Statistics applied to Humanities and Social Sciences. Dr. FRANCISCO JAVIER

12

ESQUIVEL SANCHEZ. UNIVERSIDADDE GRANADA

II.- SPATIAL PROCESSING OF GEOGRAPHIC INFORMATION

DR. MANUEL A. UREÑA CÁMARA

4.- Spatial analysis by means of Geographic Information Systems. DR. EMILIO MOLERO MELGAREJO. UNIVERSIDAD DE GRANADA.

5.- Spatial statistics. DR. MANUEL UREÑA CÁMARA. UNIVERSIDAD DE JAÉN.

6.- Learning Machine. DR. ALFREDO PÉREZ MORALES. UNIVERSIDAD DE MURCIA

12

III.- QUALITATIVE ANALYSIS OF THE DATA

DR. NORAT ROIG TIERNO

7.- Bibliometric methodologies and semantic analysis of qualitative data. DRA. ALICIA MAS TUR. UNIVERSIDAD DE VALENCIA.

8.- Network and complex systems analysis. DRA. NURIA RODRÍGUEZ ORTEGA. UNIVERSIDAD DE MÁLAGA

9.- Qualitative Comparative Analysis (QCA): DR. NORAT ROIG TIERNO. UNIVERSIDAD POLITÉCNICA DE VALENCIA

12

IV.- PRESENTATION OF RESULTS

DR. MANUEL ARCILA GARRIDO

Thematic cartography. DR. MANUEL ARCILA GARRIDO. UNIVERSIDAD DE CÁDIZ

11.- Visualization, analysis and publication of geographic information in WEB. DR. ALEJANDRO CORTIÑAS ÁLVAREZ Y DR. TIRSO VARELA RODEIRO. UNIVERSIDADE DA CORUÑA

Geo-visualization techniques: 3D and multimedia mapping. DR. GERMAN SÁNCHEZ DÍAZ. UNIVERSIDAD DE ALCALÁ DE HENARES.

12

TEACHING METHODOLOGY

(In addition to what is considered appropriate to indicate in this section, in the case of blended or virtual programs, everything related to issues of virtual teaching-learning methodology should be included, indicating the type of resources that are expected to be considered for the learning of each module/subject and if they are already available).

own materials in virtualized or digital format, tutorial support, modular learning sequence, networked evaluation system, etc.).

  • University degree or equivalent (for foreign students) to be able to access the Master’s degree.

This master’s degree will prepare students to conduct research in the Humanities and Social Sciences. This will serve you well in potential doctoral programs, academic institutions, as well as add to your skills in the private sector.

More information

Through tools, you will learn how to channel a large volume of data, establishing relationships between them on a small and large scale. These data will be used to formulate new hypotheses. The Master’s Degree in Data Analysis Techniquesplaces great emphasis on the use of digital tools that allow statistical, network, quantitative or qualitative analysis, as well as the creation of graphs and diagrams.

The contents of the master’s degree will be based on a theoretical framework that will allow students to understand the operation of these techniques and their usefulness, presenting concrete examples of their different functionalities applied to research projects, combined with an important practical part that will allow them to handle these new tools and apply them to their own research.

It should be noted that the Master of Continuing Education in Data Analysis Techniques for Research in the Humanities and Social Sciences has the participation of the International Society of Hispanic Digital Humanities (HDH).

If you want to take the Master’s Degree Data Analysis Techniques for Research in Humanities and Social Sciences you can contact us through our CRM.

Master's Degree in Data Analysis Techniques
CHARACTERISTICS
Study Type

UNIA Certificate

Academic area

Artes y Humanidades & Ciencias Sociales y Jurídicas

Modality

Online

Language

Spanish

ECTS

60 ECTS

Campus

Baeza (Jaén)