Choose us - MASTER OF LAW, ECONOMICS AND MANAGEMENT INNOVATION, BUSINESS AND SOCIETY Data Governance course

Multi-disciplinary Master's degree from the UFR-ip Law, Economics & Management, supported by laboratories Property, standards and contracts (LBNC) and Computer Science (LIA), members of the Agorantic research federation.

Business objectives

Chief data officer for companies and organisations:

  • audit and management of the organisation's data affecting its operations
  • data ownership management and regulatory compliance
  • proposing and implementing data governance
  • valuing internal data and identifying potential added value
  • bottom-up integration of data management by facilitating collaborative processes
  • management and analysis of historical customer relations data, anticipation of trends and changes in communication methods
  • detection and analysis of weak signals
  • technological, legal and economic monitoring of data management
  • anticipation of the risks of loss of comparative competitiveness due to the emergence of new data management methods or legislative upheavals
  • agile implementation of data flow restructuring in consultation with all employees

Knowledge and skills

The Data Manager is responsible for :

  • data rights and ownership
  • cloud computing (technological models and financing)
  • security and data protection
  • all data collection resources
  • data analysis tools and visualisation solutions
  • the massive amount of data needed for artificial intelligence
  • external data sources and their possible leverage effect
  • internal and external digital communication
  • digital uses in the workplace and how they are changing
  • the impact of digital devices on human resources

Prerequisites

A command of literary French and technological English is required to follow the courses.
Knowledge of a third language is an asset.
There are three ways of acquiring the above skills, depending on the skills acquired in the bachelor's degree:

  • Law, AES, Political Science or Economics and Management: all of the skills will be acquired, starting with notions of law, sociology, economics and management, in order to acquire technological expertise based on usage.
  • Computer science, mathematics or statistics: the analysis and description of the economic logic at work and legislative developments will be approached on the basis of an in-depth study of the complex networks that have emerged with Web 2.0.
  • Humanities, linguistics, philosophy, art history and information science: all of these concepts will be addressed through a comparative analysis of existing digital data and the creation of a scientific and technological watch on all aspects of digital governance.
Recruitment will ensure a balance of these three profiles. Collaborative projects supported by a team of lecturer-researchers recognised for their multidisciplinary practices will enable each student to familiarise themselves with and grasp the diversity of approaches to data governance. The course therefore requires an open mind and a genuine interest in the complementary nature of scientific profiles. All data managers are required to evolve very quickly from their core skills. The Agorantic research federation offers an institutional framework that is well suited to the exercise of this versatility.

Course

The course takes place over 4 semesters. It comprises 801 hours spread over 4 semesters. Three key professional skills are offered: Data law; Artificial intelligence and digital business; Open Data. The teaching relating to these skills is grouped together over 7 weeks per semester on a regular alternating basis (15 days in training / 15 days in apprenticeship). Between these weeks, non-apprenticeship students receive ongoing support in the form of cross-disciplinary skills and tutored projects, as well as via the online teaching platform.

 

Master's digital environment

All the concepts and IT systems can be tested and developed independently in an educational and professional IT cloud:

  • mixed (internal dedicated servers, external virtual resources),
  • cross-platform (Linux Debian under GPL licence, FreeBSD under BSD licence, Windows server (Microsoft licence),
  • distributed: NextCloud (National) / Google Drive Business (USA) and Digital Ocean (Americas/Europe/Asia).

This environment also includes :

  • MySQL (GPL), PostGreSQL (BSD), SQLserver (Microsoft) or non-relational MongoDB (GPL) databases coupled with ElasticSearch (Apache),
  • distributed data processing algorithms using Spark (Apache),
  • private visualisation tools (QlickView) and analytical tools (SAS),
  • a range of integrated open-source solutions (Dolibarr ERP-CRM, Drupal CMS, R/Rstudio/Shinny, LimeSurvey, Stanford GloVe etc.).

In this way, we are able to guarantee a pluralist range of training courses, enabling graduates to design and choose, in complete independence, relevant solutions from among the wide variety of data governance tools available today in companies, associations and government departments.


Updated le 22 December 2022