Data Analytics for Business

To equip students with both technical expertise and advanced managerial skills, the curriculum encompasses a comprehensive range of management topics, including digital corporate strategy, ethical considerations, legal aspects, project management, and design thinking.

Real-life case studies hold particular significance in domains such as finance, marketing, and logistics, preparing future managers to address diverse challenges. Additionally, the programme emphasises the development of soft skills, including 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. Last year, they welcomed the students during their first lecture at KEDGE. They also provided them with certification in their core cloud services, Azure, ,and have committed to inviting them to their job market event in June.

Corporate partners are part of the programme’s development committee ensuring the teaching is in line with recruiter’s expectations.

Under the guidance of Professor Frédéric Babonneau, the Research Centre in Supply Chain is committed to addressing the economic, environmental, and societal challenges inherent in the supply chain. We collaborate with companies, communities, institutions, and academia to co-develop innovative concepts, methods, and tools essential for organising and transforming supply chains. Our initiatives influence academic research, the corporate landscape, societal dynamics, and educational paradigms.

While graduates may not need to attain expertise in these fields, it is crucial that they grasp the fundamental principles and logic that drive the work 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.