This Master of Science in Data Analytics for Business 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.

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 managemen
•  Microsoft
• Digital Aquitaine
• Trustworthy AI Chair

Skills developed during the Master:

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.

Careers Outcomes:

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

• Project manager and project management assistance
• Project manager and product owner
• Consultant, AI development advisor
• Manager of data scientists
• Business engineer in the field of AI
• Digital transformation