Digital humanities

Interdisciplinary crossroad of opportunities.

As data proliferate and play an ever-growing role in our life decisions, the division between engineers who design algorithms and social science experts who interpret those data cannot hold anymore.

Image copyright: Kirell Benzi

The content industry via media, entertainment and culture, together with the public, make an extensive use of big data and machine learning techniques. The Master of Science in Digital humanities offers a program of excellence in both the data science and humanities fields that brings graduates to positions of responsibility in the new rich content systems of information.

Program’s objectives

The program offers a high level qualification in data science as well as in humanities and social sciences, on a theoretical but also on an operational level in order to manage all the steps in the chain of rich data processing. This encompasses the creation of data-harvesting processes, the choice and design of algorithms, the maintenance of databases and archives, the design of user experience, and the interpretation to propose.

In this growing field, many opportunities in cultural institutions in Switzerland and abroad are available. A graduate of the Master in Digital humanities is an asset in institutions like BnF Biblissima, Harvard Library, the Swiss National Library, national and international museums and the archives of international organisations.

Moreover, the graduates have access to jobs in companies like Facebook, Google, and Microsoft, and have opportunities to work in companies like Nespresso, Cisco, or for radio and television networks.

Simplified study plan

Please note that the information regarding programs’ structure as well as the simplified study plans may be subject to change and that they are not legally binding. Only the official regulations and study plans are binding.

Admission criteria

Admission to the Master’s degree in Digital humanities are on a case-by-case basis. Students are evaluated based on their academic curricula, which must include knowledge of statistics and advanced programming skills, as well as a demonstrable interest in the broader field of humanities and social sciences.

Further information about admission criteria

Teaching language

English

Online application

Contact

To learn more about this program, please use the following contacts:

[email protected]


0041 21 693 64 27