
The Master in Data Sciences & Business Analytics (DSBA) is a joint degree offered by ESSEC Business School and CentraleSupélec. The program combines advanced analytics, machine learning, artificial intelligence, business intelligence, and strategic decision-making. It is consistently ranked among the world's top Business Analytics programs and prepares students for careers in consulting, finance, technology, analytics, and AI-driven business transformation.
• Course Level:
PG
• Stream:
Management
• Specialization:
Data Science
• Eligibility
• Bachelor's degree (3 or 4 years)
• Background in Engineering, Mathematics, Statistics, Computer Science, Economics, or
Management
• Strong quantitative skills
• English language proficiency
• Academic transcripts required
• Entrance Exams Accepted
• Process
• Online application submission
• Academic document review
• CV/Resume submission
• English proficiency verification
• Interview (if shortlisted)
• Admission decision
• Enrollment confirmation
• Application Deadline
Not Available
# 29 ( As per QS Global MBA Ranking 2026 )
# 12 ( As per QS Executive MBA Ranking 2026 )
# 10 ( As per Financial Times MiM Ranking )
# 10 ( As per Financial Times European Business Schools )
# 24 ( As per Financial Times Global MBA 2025 )
# 29 ( As per QS Global MBA Ranking 2026 )
# 12 ( As per QS Executive MBA Ranking 2026 )
# 10 ( As per Financial Times MiM Ranking )
# 10 ( As per Financial Times European Business Schools )
# 24 ( As per Financial Times Global MBA 2025 )
ESSEC DSBA is one of the best Data Science and Business Analytics master's programs in Europe. The program combines AI, machine learning, analytics, and business strategy while offering strong placements with companies like Google, Amazon, Deloitte, EY, Accenture, and BCG.
The ESSEC DSBA program is consistently ranked among the top Business Analytics master's programs worldwide and is recognized as one of Europe's leading analytics degrees for careers in AI, data science, and consulting.
Graduates work as Data Scientists, Business Analysts, AI Consultants, Machine Learning Engineers, Analytics Managers, Strategy Consultants, Product Analysts, and Financial Data Specialists at leading global companies.
A quantitative background in engineering, mathematics, statistics, computer science, economics, or management is preferred. However, motivated applicants with strong analytical skills are also considered.
Yes. The program has a highly international cohort representing more than 40 countries and provides excellent networking, internship, and employment opportunities across Europe, Asia, and North America.
Top recruiters include Google, Amazon, Deloitte, EY, PwC, Accenture, BCG, Bain & Company, JP Morgan, BNP Paribas, Allianz, L'Oréal, Schneider Electric, and Palantir, making it one of the strongest analytics placement programs in Europe.
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