MSc in Data & Business Analytics

• Equip students with data science expertise to solve strategic business issues
• Develop analytical and programming skills using Python/R for data analysis
• Apply analytics across disciplines including marketing, finance, and supply chain
• Learn to use modern tools (DataCamp, industry-standard software) for visualization, predictive modeling, and decision-making

Year 1 (M1)

• Focus on foundational knowledge: statistics, programming (Python/R), data management, decision science, time-series analysis, AI/machine learning
• Language modules in French and optional Spanish, Italian, Chinese, or Arabic
• Minimum 2-month internship (France or abroad)

Year 2 (M2)

• Specialisation tracks in business domains:
  • Marketing: Social Media Intelligence, Retail Analytics, Customer Data
  • Supply Chain: Advanced Analytics, Demand Planning
  • Finance: Financial Portfolio Management, Fintech, Neural Networks for Finance
• Key modules: AI in business, CRM systems, data project management, ethics
• Includes a Graduating Project (dissertation)
• Internship requirement: at least 4 months

Graduates are prepared for roles such as:

• Data Scientist
• Business Intelligence Manager
• Operations or Supply Chain Analyst
• Marketing Analytics Specialist
• Financial or Credit Analyst
• Data Flow Specialist

Career development is supported through on-campus career services, faculty mentorship, networking events, and an active alumni community.

• For M1 entry: Bachelor’s degree (minimum 3 years)
• For M2 entry: 4-year Bachelor’s degree or 3-year degree with at least 3 years of relevant work experience
• English proficiency:
  • TOEIC: minimum 785 (800+ needed for graduation)
  • IELTS: minimum 6.0 (6.5+ for diploma eligibility)
  • TOEFL: minimum 80
  • Cambridge English B2 or higher
  • Exemption possible for those with prior education in English

Further information about the tuition fee and available scholarships for the program can be found on the university page.