The Research Master's programme Critical Studies in Art and Culture (formerly known as VAMA), specialization of the Humanities Research Master, focuses on the study of current developments in visual arts, architecture, design and media, from a theoretical and historical perspective. In a globalizing cultural world in which art, architecture, design and media are ever more closely integrated and packaged as “creative industries,” disciplinary boundaries need questioning and challenging, yet a thorough grounding in older and newer disciplines such as art history, architectural history, design culture, and media studies is a prerequisite for doing so.
|Faculty||Faculty of Humanities|
Choose in period 4 an elective worth 6 credits (e.g. The Diasporic
Choose in period 5 an elective worth 6 credits (e.g. Gothic Spaces).
|Seminar The Material Book||P1||6EC||L_NOMANED010|
|The Diasporic Experience: Ethnic Cultures of America||P4||6EC||L_ELMAENG014|
Linguistics (L_NCMPLIN005; 9 ec; period 1), Forensic Linguistics 2:
Methods of Authorship Analysis (L_AAMPLIN016; 6 ec; period 5+6) and
electives worth 15 ec in period 2-4 (strongly advised courses Python
Programming for Text Analysys (L_AAMPLIN017; 9 ec; period 2+3) and
Natural Language Processing Technology for 6 ec (L_AAMPLIN015; period
In year 2 follow Forensic Linguistics 3: Language of Government and
Business (L_NCMPLIN003; 6 ec; period 1), Tutorial Forensic Linguistics
(L_NCMPLIN004; 9 ec; period 2) and courses at one of the National
Research Scools (9 ec; semester 1).
period 1), Python Programming for Text Analysys (L_AAMPLIN017; 9 ec;
periode 2+3), Natural Language Processing Technology (L_AAMPLIN015; 9
ec; period 4) and courses at one of the National Research Scools (6 ec;
In year 2 follow Computational Lexicon (L_AAMPLIN013; 6 ec; period 1),
Subjectivity Mining (L_AAMPLIN018; 6 ec; period 1), Machine Learning
(L_AAMPLIN019; 9 ec; period 2) and courses at one of the
National Research Scools (3 ec; semester 1).