This degree is presented with six basic and methodological subjects that are compulsory because they provide useful tools for students in the rest of the optional subjects and in their subsequent work or research.
At the same time, an attempt is made to promote as much as possible the optionality with a wide range of subjects (4 of a general nature and 12 linked to discipline) to ensure that students shape their curriculum according to their needs and interests. Thus, the master's degree that we propose here consists of a postgraduate course that will provide in-depth basic training to later address more specifically the fields of main interest of the students.
To obtain the master's degree, the student must pass 60 credits. In this proposal, the Final Master's Project (TFM) has 9 credits because it is understood that students have already familiarized themselves with and practiced with the basic tools and techniques presented in the compulsory subjects, which, together with the knowledge acquired with the optional subjects selected, and under the direction of one of the professors, will allow them to successfully face the problem posed.
Compulsory credits: 31 (5 subjects de 5 credits y one of 6)
Elective credits: 20 (16 subjects of 4 credits)
Compulsory Master`s thesis: 9 credits
The student must configure his studies full-time or part-time, in several years. In this second case, it is advisable to enroll only in those compulsory and optional subjects that are of interest to you and that maintain the relationships established in each subject. To do this, it is important to read the guides for all subjects and, if applicable, ask the teachers available for this during the enrollment period established by the UNED. In case of studying the master's part-time, it is advisable not to enroll in the master’s degree subject until the second year.
For all the semester subjects, it is indicated: semester (1st or 2nd), character (Compulsory, Elective), number of ECTS and title.
(1st, OB, 5) DH Publishing, Science Communication and Dissemination
(1st, OB, 6) Introduction to Digital Humanities
(1st, OB, 5) Digital Competencies and Programming for Humanists
(1st, OB, 5) Data Analysis for Digital Humanities Research
(1st, OB, 5) Access and Data Mining for DH Research
(2nd, OP, 4) Geopositioning and Geographic Information Systems
(2nd, OP, 4) Applied Statistics
(2nd, OP, 4) Databases and Big Data
(2nd, OB, 5) Data Visualization
(2nd, OP, 4) Computer Vision for the Digital Humanities
(2nd, OP, 4) Processing of Alphanumeric Information of a Chronological Nature
(2nd, OP, 4) Information Retrieval and Data Mining
(2nd, OP, 4) Tools and Resources for the Study of Linguistic Variation and Linguistic Varieties
(2nd, OP, 4) Ethics and Digital Environments
(2nd, OP, 4) Digital Edition (XML-TEI)
(2nd, OP, 4) 3D Reconstruction, Visualisation and Printing
(2nd, OP, 4) Specialised Discourse and Linguistic Technologies
(2nd, OP, 4) Design and Exploitation of Oral Corpora for Linguistic Research
(2nd, OP, 4) Spatial Data: Handling and Publication
(2nd, OP, 4) Audiovisual and Digital Anthropology
(2nd, OP, 4) Applied Stylometry
(2nd, OP, 4) Semantic Web and Intelligent Systems for DH