THE OBJECTIVES OF THIS TRAINING IN DATA ANALYTICS

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

HIGHLIGHTS OF THE MSc PROGRAMME IN DATA ANALYTICS FOR BUSINESS

A COMPREHENSIVE MANAGEMENT APPROACH

Digital business strategy
Ethical considerations
Legal aspects
Soft skills
- Public speaking & leadership
- Team management

User eXperience, User Interface
Agile project management
Design thinking
Business models
Use cases in:
- Finance
- Marketing
- Logistics

A GLOBAL APPROACH TO DATA

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

EXPERIENTIAL LEARNING

Microsoft
Digital Aquitaine
Trustworthy AI Chair

Skills developed during the MSc programme in Data Analytics for Business

TECHNICAL KNOWLEDGE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

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.

MASTERING THE MANAGEMENT TECHNIQUES ASSOCIATED WITH THIS MEDIATION ROLE IN THE SPECIFIC CONTEXT OF ARTIFICIAL INTELLIGENCE

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.

Bordeaux Campus

The Master of Science (MSc) in Data Analytics for Business is taught on the Bordeaux campus.

Designed as a living space like the British universities, this 35,000 m2 campus combines work, sports and relaxation areas. Innovative facilities that are particularly well suited to the needs of the new generation of students.

Find out more about Bordeaux campus

Careers after the Data Analytics for Business programme

In management, team management or project management, the career opportunities offered by the data analytics for business training course on completion are numerous: