Achieve interdisciplinary scientific cross-fertilization of the learning outcomes from the elective courses of the Master's Program “Computational Journalism and Artificial Intelligence” that they have successfully attended.

Scientifically and accurately apply these outcomes in original research papers.

Develop skills in:
a) Individual and collaborative scientific work
b) Scientific writing and presentation

Cultivate understanding and attitudes of responsible and active adherence to scientific and research ethics.

Develop skills in locating and utilizing a broad range of scientific sources and large volumes of research data.

Develop skills in formulating original and synthetic research objectives and designing effective research methodologies.

Develop project design and management skills for carrying out scientific work according to quality and time requirements.

Develop skills in organizing and drafting extensive scientific texts.

Achieve a broad and deep understanding of current scientific and research issues in the field of Computational Journalism and Artificial Intelligence.

Acquire advanced ability in comprehension and critical thinking regarding new multidisciplinary and interdisciplinary scientific issues, with a foundation in Computational Journalism and Artificial Intelligence and the ability to transfer this metacognitive skill to other fields.

Demonstrate the ability to meet the formal, timely, and quality demands of a high-level academic specialization program.

The evaluation of the Master's Thesis is carried out through a written dissertation, which is submitted to a Three-Member Examination Committee, and through a public defense of the Thesis before this Committee. Master's Theses are evaluated based on the following criteria, which are already known and made available to postgraduate students through the courses of the Master's Program that they have attended.

A) In terms of the literature review component, the evaluation criteria are:

• Identification of the case study.

• Discovery and selection of literature.

• Presentation of the content of the selected literature.

• Processing and analysis of the main points in the selected literature.

• Processing and synthesis of conclusions from the literature review.

• Completeness achieved in the literature review.

• Identification of limitations encountered during the literature review.

• Assessment of the reliability of the conclusions from the literature review.

• Assessment of the generalizability of the conclusions from the literature review.

• Identification of open questions for further investigation.

B) In terms of the research or practical application component, the evaluation criteria are:

• Identification of the application case.

• Design of the implementation of the application.

• Design of the overall structure of the application.

• Design and/or implementation of the components of the application, as appropriate.

• Design of the evaluation process for the application.

• Assessment of the completeness achieved in the application work.

• Assessment of the reliability of the conclusions drawn from the application work.

• Assessment of the generalizability of the conclusions from the application work.

• Identification of limitations encountered during the application work.

• Identification of open questions for further investigation.