HIGHLIGHTS OF THE MSc PROGRAMME IN 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.
Skills developed during the MSc programme in Data Analytics for Business
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.
STUDY EXPERIENCE, COURSES AND LEARNING APPROACH
The MSc Data Analytics for Business is a postgraduate programme designed to provide a structured academic experience combining data analysis, business knowledge and professional learning.
Students follow a curriculum composed of specialised courses in data analytics, business intelligence, machine learning, information systems and digital transformation. Each course combines academic concepts with practical application through case studies, group work and projects.
Throughout the programme, students develop analytical and technical skills by working with data, tools and technologies used in industry. The curriculum includes programming, data modelling, data visualisation and business analytics.
The learning approach combines lectures, collaborative work and applied research activities, enabling students to gain hands-on experience in data-driven environments. The programme follows a credit-based structure aligned with international university standards.
Students also learn how to use analytical tools and software to create data-driven solutions and support business decision-making.
ACADEMIC REQUIREMENTS AND PROGRAMME STRUCTURE
The MSc Data Analytics for Business is designed for students with a Bachelor’s degree (BSc or equivalent) and an interest in data analysis, business and technology. The programme outlines clear academic requirements to ensure students can follow advanced courses in analytics, programming and information systems.
Throughout the academic year, students learn how to use data, software and analytical tools such as Python to develop business solutions and generate insights for organisations. The programme combines theory and practice, allowing students to work on real projects and apply their knowledge to industry challenges.
Students gain experience in data management, decision-making and innovation, while developing the ability to create value from data and support business transformation across sectors.
CAREER OPPORTUNITIES IN DATA ANALYTICS AND BUSINESS
The MSc Data Analytics for Business prepares graduates for careers in data analytics, business intelligence and digital transformation across a wide range of industries.
Graduates typically work as Data Analyst, Business Analyst, Data Consultant or Project Manager in sectors such as finance, marketing, consulting and technology.
These roles involve analysing data, developing business solutions, supporting strategic decision-making and leading data-driven projects within organisations.
With strong analytical and managerial expertise, graduates are well positioned to build long-term careers in a global, data-driven business environment.
STUDY DATA ANALYTICS IN BORDEAUX – A LEADING BUSINESS AND TECHNOLOGY HUB
The MSc Data Analytics for Business is delivered on KEDGE’s Bordeaux campus, offering an ideal environment to study data analytics in France.
Bordeaux is a dynamic city combining business development, digital innovation and a growing technology ecosystem. Students benefit from proximity to companies, start-ups and international organisations using data analytics to drive performance and innovation.
Studying at KEDGE Business School provides access to a strong academic environment, professional networks and career opportunities in data, analytics and digital business.
ADMISSION, PATHWAYS AND FUNDING
The MSc Data Analytics for Business is open to candidates holding a Bachelor’s degree of three or four years, or equivalent academic experience through the Validation of Personal and Professional Experience.
Applicants should demonstrate an interest in data analysis, business analytics, information systems, digital transformation and project management. The admission process includes a review of the academic background and an interview to assess the candidate’s motivation, level of English and professional objectives.
Funding solutions are available to support students throughout their postgraduate studies and help them prepare for a career in data analytics, business intelligence and digital transformation.
