Computational Humanities

The MSc Computational Humanities program combines advanced computational techniques with humanities research, teaching innovative approaches to the analysis of cultural, historical, and social data. The program has an interdisciplinary focus, combining computational methods (e.g., AI) with humanities. Students learn to handle text, audio, image, and video data in computational analyses, enabling work with diverse media formats within humanities research. The program develops skills in programming, data analysis, and understanding of how to apply digital tools to humanities disciplines such as linguistics, musicology, history, and arts. Students critically examine the ethical, cultural, and societal implications of using computational methods in the study of human culture.

The program can be studied either as a single major with 120 ECTS (including master's thesis and colloquium), or combined with another major, each consisting of 45 ECTS (excluding master's thesis and colloquium). In the combined option, students can decide in which subject to write their master's thesis (combining both subjects is also possible). The thesis with colloquium contributes 30 ECTS.

The single major (120 ECTS) curriculum includes core courses such as Deep Learning, Computational Text Analysis, Temporal Modeling, and Multilingual Natural Language Processing. Students also take courses in Computational Analysis of Non-textual Data and Multimedia Processing. The program includes mandatory electives (30 ECTS total) with options like Research Project, Cultural Data Management, Digital Editions, Data Annotation, and Current Research in Computational Humanities. The 4th semester is dedicated to writing the master's thesis and presenting it in the colloquium. Mandatory courses are offered yearly, with the starting year 2025 offering only first semester courses.

The double major (45 ECTS) curriculum includes core courses such as Deep Learning, Computational Text Analysis, and Multilingual Natural Language Processing, as well as Computational Analysis of Non-textual Data. Students also choose 5 ECTS from electives. In the 4th semester, students write their master's thesis and present it in the colloquium, with the freedom to choose in which of their majors they would like to write the thesis.