Checking date: 15/07/2023

Course: 2023/2024

Master’s Thesis Seminar
Master in Computational Social Science (Plan: 472 - Estudio: 375)

Coordinating teacher: UCAR MARQUES, IÑAKI

Department assigned to the subject: Social Sciences Department, Statistics Department

Type: Compulsory
ECTS Credits: 3.0 ECTS


- Originality in the approach and use of computational tools. - Ability to write proposals and essays. - Ability to present results of important written works and know how to link them with current social problems.
Skills and learning outcomes
Description of contents: programme
1. Features and structure of the Master's Thesis 2. The logic of social research 3. Theoretical, methodological and technical alternatives used in the elaboration, presentation and defense of the Master's Thesis 4. Workshop
Learning activities and methodology
Training Activities: - Theoretical-practical classes - Individual student work Teaching Methods: - Presentations in the professor's lecture room with computer and audiovisual support, in which the main concepts of the subject are developed and a bibliography is provided to complement the students' learning. - Presentation and discussion in class, under the moderation of the professor, of topics related to the content of the subject, as well as practical case studies. - Developing pieces of work and reports, individually or in group.
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Basic Bibliography
  • Bui, Y.N.. How to write a master's thesis. Sage Publications.. 2013

The course syllabus may change due academic events or other reasons.