top of page

Master in Data Sciences & Business Analytics – ESSEC & CentraleSupélec

  • Masters Experts
  • Sep 21
  • 3 min read

Table of Contents

Master in Data Sciences & Business Analytics – ESSEC & CentraleSupélec

Program Overview

The Master in Data Sciences & Business Analytics (DSBA) by ESSEC Business School and CentraleSupélec is a globally ranked program that integrates rigorous technical training with strategic business knowledge. This intensive one- or two-year program is designed for future leaders who want to harness data to transform industries.

Offered across campuses in France and Singapore, the DSBA program combines the scientific depth of CentraleSupélec with the business excellence of ESSEC.


Why Choose the ESSEC-CentraleSupélec DSBA Program?

🏆 Global Recognition: Ranked number 3 worldwide by QS for Business Analytics.

🌍 Hybrid Perspective: Delivered by two of France’s top institutions – an engineering powerhouse and a business school with triple accreditation (EQUIS, AACSB, AMBA).

🚀 Tailored Learning: Choose from 7 industry-aligned specializations.

🌐 Global Networks: Access alumni from over 126,000 graduates and career fairs in Paris and Singapore.

🎯 100% Employability: Within 6 months of graduation, graduates secure impactful roles in top firms.


Curriculum Highlights

The DSBA curriculum is structured across three terms:

• Term 1 (Paris): Core foundations in data science, programming (Python, C++), linear algebra, machine learning, optimization, and statistics.

• Term 2 & 3 (Cergy or Singapore): Specialized courses in business analytics, electives, seminars, and internships.Students can also pursue double degrees with Columbia University, UC Berkeley, or HKUST.


Specializations

1. Finance: Fintech, risk management, fraud detection

2. HealthTech: Medical imaging, clinical data science

3. Marketing & Consumer: Gen AI, CRM, business intelligence

4. RetailTech, Supply & Sustainability: SCM, e-commerce, sustainability analytics

5. Consulting & Strategy: Data monetization, blockchain

6. Research: NLP, computer vision, advanced AI methods

7. International (Singapore): Cybersecurity, Asian economies


Experiential Learning Opportunities

• Corporate Research Projects with firms like L’Oréal, Sanofi, and BNP Paribas

• Hackathons with real-world business problems

• Masterclasses led by industry experts

• Global Field Trip to engage with analytics leaders worldwide

• Internship (4+ months) at top firms such as Amazon, IBM, Meta, and Société Générale


Career Outcomes & Recruiting Companies

Job Roles:

• Data Scientist / Analyst

• Strategy Consultant

• Product Manager

• BI Engineer

• AI Researcher


Sectors:

• Consulting

• Finance & Insurance

• IT & Digital Services

• Healthcare & Biotech

• E-commerce & Consumer Goods


Top Recruiters: Amazon, Deloitte, Morgan Stanley, Google, TikTok, Agoda, Meta, Uber, IBM


📈 67% found jobs within a month

🌐 83% have international roles

🌍 40% work outside their home country


Who Should Apply?

This program is ideal for:

• STEM or Economics/Management graduates

• Early-career professionals (Avg. age: 23)

• Candidates seeking a hybrid profile in business + data science

• Internationally mobile students (81% international representation)


Entry Paths:

• 3-year bachelor's degree: 2-year DSBA (M1+M2)

• 4-year bachelor/master’s degree: 1-year DSBA (M2 only)


Required Tests:

• GMAT / GRE / TAGE MAGE

• TOEFL / IELTS / TOEIC / Cambridge (unless exempt)


Campuses & Global Reach

• Cergy (France): Core business analytics courses

• Paris-La Défense: Executive education hub

• Singapore: Asian markets, cyber security, innovation

• Rabat (Morocco): Africa-focused programs

With 4 physical campuses and a digital campus, ESSEC & CentraleSupélec ensure a global, immersive learning experience.


Conclusion

The ESSEC & CentraleSupélec DSBA program prepares future-ready professionals who understand both the algorithms behind AI and the boardroom implications of big data. Whether you want to influence health tech, lead digital transformation, or optimize sustainability using data, this program is your launchpad.


🚀 Ready to unlock your future in Data & Business?

Book your profile evaluation session or start your application today.

📩 Still have questions? Talk to our admissions experts.


FAQs

Q1. Is the program suitable for non-engineers?

Yes, 54% of current students hold degrees in management or economics.


Q2. Can I complete it in 1 year?

Yes, if you already have a 4-year bachelor's or a master’s degree.


Q3. Is internship mandatory?

Yes, a 4-month internship is required for graduation.


Q4. Are there double degree options?

Yes. Columbia (Business Analytics), HKUST (FinTech), UC Berkeley (Engineering).Q5. What are the language requirements?The program is taught in English. You need a valid English proficiency test unless exempt.

bottom of page