All courses in the master.

KNOWLEDGE ACQUISITION: 1) Autonomy in the development of a work or research project; 2) Ability to review literature of specific topics; 3) Domain of scientific writing; 4) Use and implementation of the statistical techniques studied in the master's degree; 5) Development and effective implementation of new techniques for data analysis. Acquisition of knowledge at the level of the state of art of a specific topic and possible input of new contributions.

This is a subject with Final Master Project as a single subject. The Master's Thesis is organized as an exercise in the treatment of data and its analysis to improve the performance of a relevant organization or company. The students will be offered different alternative fields in which to complete this Thesis. They will also receive support and orientation throughout the completion of the Thesis. The students will collect the data of interest, apply the relevant techniques to these data, and present the results in a clear and useful manner. The Final Master Project will be presented in a public session and it will be supervised by a committee.

LEARNING ACTIVITIES Tutorial clases Individual work of the student METHODOLOGY Reading and critical commentary of texts recommended by the instructor: general articles, reports, textbooks and/or scientific journal articles. These readings should be discussed in person, or at least they should provide a basis to expand and consolidate the knowledge required to complete the Master Thesis.