MSc in Data Analytics for Business

Graduates will be able to:

• Bridge the gap between data science and business strategy using analytical and AI tools
• Apply machine learning and data modeling to support business innovation
• Manage digital transformation projects across functions like finance, marketing, and operations
• Translate technical results into strategic insights and clear recommendations
• Work ethically and effectively with data using established standards and programming skills

Long Track (2 years):

• First year: foundational business, programming (Python, SQL), and analytics essentials
• Specialization year: advanced machine learning, information systems, data visualization

Short Track (1 year):

• Intensive modules on analytics, AI, business insights

Both tracks include:

• Hackathons and case competitions (e.g., with L’Oréal, Microsoft Azure)
• Field visits to major corporations
• Internship (4–6 months) or capstone project
• Final Master’s thesis

Graduates pursue roles such as:

• Data Analyst
• Business Engineer
• Project Manager (AI/Data-focused)
• Product Owner for AI solutions
• BI or Data Governance Specialist

• 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.