Data intelligence
in Culture and Heritage

The distinctive feature of this master’s degree programme compared to current masters in other French universities lies in the fact that it is equally balanced between the humanities and digital sciences. Offered by CESR in partnership with the Laboratory of Fundamental and Applied Information Technology (LIFAT, EA 6300), it meets high professional expectations in digital data science and engineering for use in culture, heritage management and tourist industries.

The course offers students the opportunity to gain and/or develop historical and critical methods for an in-depth and effective understanding of data (closely linked to the History, Civilisation, Heritage degree course), as well as its acquisition, structuring, enhancement, analysis and valorisation. In this light, the course covers databases, programming, integration architectures, warehouses, statistics, excavation and annotation etc. These subjects are taught partly in English and pave the way towards studying Data Science further during a year-long Post-Masters in Big Data Management and Analysis (BDMA) at the University of Tours.

Download the master’s file in PDF format (2018-2019)

Master 1

First semester

  1. Common HCP and HN degrees core courses : General introduction to curriculum: Research, Heritage and Digitisation (16 hours)
  2. Introduction to Digital Humanities (36 hours)
  3. Capacity-building module: Acquisition, processing and archiving of multimedia and textual data (60 hours)
  4. English (18 hours TD)
  5. Capacity-building module 1: A choice between HCP and Information Technology (60 hours)
  6. Capacity-building module 2: A choice between HCP and Information Technology (40 hours)

Second semester

  1. Common HN degree core courses: Knowledge interoperability and engineering (60 hours)
  2. English (18 hours TD)
  3. Capacity-building module 3: A choice between HCP and Information Technology (40 hours)
  4. Group projects in Digital Humanities: from design to production (68 hours)
  5. Professional training module (10 hours)

Master 2

First semester

  1. English (18 hours TD)
  2. Data integration (60 hours)
  3. Statistics, data exploration and analysis (60 hours)
  4. Annotation methods and tools (40 hours)
  5. Capacity-building module 4: A choice between HCP and Information Technology (60 hours)

Second semester

  1. English (18 hours TD)
  2. Heritage Law & Management (36 hours)
  3. Internship and internship report
  4. Professional training module (10 hours)

Recommended Licenses

The training is suitable for students with a Bachelor degree in Humanities or ingineering sciences , having a regular digital practice.</ p>

Composition of the application file

Official transcript of bachelor, and master 1 for the entry in master 2, CV (without photo), Letter of motivation (with precision on the research project and professional, specific motivation for the envisaged training, quality of the expression) </ p>

Recruitment Criteria

Analysis of the application file and possible interview


Registration Period :

From April 20 to May 18, 2020


Register here

Program supervisor : Elena Pierazzo & David Fiala