This Master of Science in Data Analytics for Business programme prepares students to become professionals with the ability to bridge the gap between data specialists and processing techniques with various business sectors. Graduates emerge as experts in data analytics and the digital transformation of companies.

Artificial intelligence (AI), machine learning, and business analytics techniques are increasingly crucial for companies, enabling them to innovate and establish new, value-driven ventures.

However, as these technical specialties evolve, a critical gap has emerged: the need for professionals capable of bridging the divide between data specialists and other business sectors.

The objectives of this training in data analytics:

The Master of Science (MSc) in Data Analytics for Business is founded on three fundamental pillars essential for the successful digital transformation of companies:

• Modeling, based on machine learning and business analytics techniques, empowering companies to enhance operational excellence and develop new business models.
• Understanding information systems, which serve as the infrastructure for deploying these models.
• Profound knowledge of the company's businesses and major functions, guiding project initiation and application utilisation.

Why study for an MSc in Data Analytics for Business?

The programme was created to bridge the gap between two distinct populations (technical and managerial experts), facilitating the alignment of business objectives with data science competencies to execute succesful data science projects to drive bsuiness decision-making. The professional demand for this dual expertise is high while the supply is low making graduates highly employable. The U.S Bureau of Labour predicts the number of jobs will increase by 28% through 2026. This is roughly 11.5 million new jobs in the field. 

Taught entirely in English at our Bordeaux campus, the programme is designed for applicants holding a four-year degree, demonstrating proficiency in English and possessing a reasonable comfort level with mathematics and statistics.

For more information on the course requirements, tuition fees and how to apply, please visit the dedicated admission and funding page. Start your journey now and become a leader in the new disciplines linked to data and artificial intelligence as business accelerators!