Data Analytics for Business

Build bridges between Data Science and Business

EdUniversal ranking 2023-Innovation Award

Admission level

From Bachelor's degree - 3 years to Bachelor's degree - 4 years, Validation of Personal and Professional Experience (VAPP)




MSc, Master of ScienceDiploma recognised by the French Ministry of Higher Education


Full Time


September 2024



EdUniversal ranking 2023-Innovation Award

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    *Only available on MScs and undergraduate programmes taught in full-time. Offer cannot be combined.


MSc Data Analytics for Business

KEDGE Business School’s Master of Science Data Analytics for Business is a double degree programme. It delivers a Master of Science accredited by the conférence des grandes écoles (CGE) and a diploma recognised by the French Ministry of Higher Education.

This Master of Science programme prepares students to become professionals with the ability to bridge the gap between data specialists and processing techniques and the various business lines. Ultimately, they will be experts in the field of data and the digital transformation of companies.


  • MSc Data Analytics for Business
  • Webinar Presentation programme
KEDGE Master of Science Data Analytics for Business

Discover KEDGE Master of Science in Data Analytics for Business

campus of Bordeaux



Artificial intelligence (AI), machine learning and business analytics techniques are becoming increasingly important in companies, enabling them to invent and create new, value-generating businesses.

However, as these technical specialities develop, it appears that a crucial link is currently missing: professionals capable of bridging the gap between data specialists and other business areas.

The Master of Science (MSc) in Data Analytics for Business is built on three pillars essential to the success of the digital transformation of companies:

- Modelling, based on machine learning and business analytics techniques, which enable companies to improve their operational excellence and develop new business models.
- Understanding information systems, which are the infrastructure for deploying models.
- Knowledge of the company's businesses and major functions, which initiate projects and ultimately use the applications.

Programme's Labels : Bienvenue en France


To provide both technical expertise and advanced managerial skills, the curriculum covers all aspects of management: digital corporate strategy, ethical issues, legal aspects, project management and design thinking. Real-life case studies are given particular importance in the fields of finance, marketing and logistics, all of which future managers will be expected to deal with. Soft skills are also promoted, through public speaking, leadership and team management.

The programme covers a wide range of subjects to ensure a comprehensive approach to the field. Students are exposed to programming languages, data mining, data organisation, data visualisation techniques and information systems management given them a rare opportunity to become experts with a comprehensive vision, bridging the gap between cutting-edge techniques and business operations within organisations.

  • Programming language (Python, SQL)
  • Machine learning algorithms
  • Data mining
  • Data organisation and management
  • Data visualisation
  • Business intelligence
  • Business Analytics
  • Information systems management

Students engage in a collaborative experience with the HACKATHON whereby students look to introduce new techniques, standards, or personal programming styles to progress on projects and develop solutions. This year, it is organised for L’Oreal using the azure tools (Microsoft). Students also engage in fields visit to companies such as IBM, Bloomberg, and Microsoft.

Graduates of the MSc Data Analytics for Business will have access to a solid network of graduates and partner companies throughout their studies and beyond. Among those involved, Microsoft, a leader in its field, is a major sponsor of the programme. Corporate partners are part of the programme’s development committee ensuring the teaching is in line with recruiter’s expectations.

Directed by Professor Frédéric Babonneau, the Research Centre in Supply Chain aims at meeting the economic, environmental and societal challenges raised in the Supply Chain by co-developing, with companies, communities, institutional and academic partners, the concepts, methods and innovative tools necessary for the organisation and transformation of the supply chain. Our actions impact academic research, the corporate world, society and education. 

Skills developed during the MSc programme in Data Analytics for Business

While not necessarily becoming experts in these fields, it is essential that graduates are able to understand the main principles and logic underlying the activities of data scientists:

  • Understanding what data is, what the main sources are and what forms it can take.
  • Mastery of the basic concepts around the most popular algorithms.
  • Understanding of what can be done with these tools.
  • Master the techniques for evaluating the quality of algorithms and identifying potential sources of problems.

  • Learning the techniques of agile project management
  • Understanding of the strategic and organisational issues associated with the introduction of artificial intelligence tools into the company's processes.
  • Understanding of the ethical issues associated with the use of these techniques.