M.Sc. Future Analytics: AI & Audio Worlds

• Bachelor’s degree in Computer Science, Data Science, AI, Sound Studies, Music, Musicology, Cultural Studies, Anthropology (with a focus on music/audio), (Music) Sociology, or related fields (see also the “Application and Admission” section)
• Sufficient English proficiency (at least B2 level) is required for the programme. Proof of proficiency may be provided by a recognised language certificate, such as the TOEFL iBT (minimum points of 61), IELTS (minimum band 5), or the Cambridge exams FCE (minimum grade B) or CAE (minimum grade C), or an equivalent certificate.
• Alternatively, a degree programme previously completed entirely in English is also accepted as proof of sufficient English language proficiency. In this case, an official certificate from the respective university is required, confirming that the programme was conducted entirely in English. The certificate must be signed and stamped by the institution.

Further information on admission to the Master’s programme Future Analytics: AI & Audio Worlds (M.A. or M.Sc.) can be found soon at the following link (electronic notice board): LINK

• Relevant academic achievements in one or more of the following areas:
• Sound Studies; Sound Design; Media Design and Research (focus on music/audio);
• Music: instrumental/artistic training, musicology/history/mediation/pedagogy;
• Gender/Queer/Postcolonial/Critical Disability/Science and Technology Studies; Cultural Studies, Anthropology, Transdisciplinary Studies; (Music) Sociology: Quantitative Social Research and Statistics, Qualitative Social Research, Social Analysis;
• Data Analytics, AI, Mathematics, Programming, Computer Science
• as evidenced by the Transcript of Records
• Relevant skills and experience in one or more of the following areas:
• Audio recording (digital or analog); audio or sound design (for tracks, theater, film, gaming, etc.); composition; sound engineering; instrumental performance; digital or analog music production; performing arts; experience with artistic or academic (student) research projects; basic or advanced knowledge of (music) programming; basic or advanced knowledge of music production with DAWs (Digital Audio Workstations);
• Programming/software development; data structures and algorithms; software engineering; data analysis and data visualization; fundamentals of machine learning; fundamentals of deep learning; fundamentals of artificial intelligence; fundamentals of computer vision; statistics; probability and statistics; fundamentals of linear algebra and calculus; research methodology and academic writing; experience with scientific or engineering projects; problem-solving skills and analytical thinking; interdisciplinary teamwork and communication—demonstrated by the CV and/or references, certificates, the Transcript of Records, or similar documents.

The Master's degree is aimed at graduates with a Bachelor's degree in:

• Computer Science, Data Science, Artificial Intelligence
• Music, Musicology
• Anthropology (with a focus on sound)
• Cultural and Sound Studies
• Sociology of Music or related subjects

The program is designed for German and international bachelor’s degree holders in anthropology (with a focus on sound), sound studies, music and cultural studies, as well as computer science, data science, and AI.