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Master in Data Sciences and Business Analytics: ESSEC & CentraleSupélec Joint Program Overview

  • MastersDegreeXperts
  • 6 days ago
  • 2 min read

Key Takeaways from the ESSEC Business Analytics Master

  • The program is a joint initiative between ESSEC Business School and CentraleSupélec, combining business and engineering expertise.

  • It prepares students to become hybrid leaders who can translate complex data into business strategy.

  • The program is structured over two years, including foundational courses, specializations, and a mandatory professional internship.

  • Students can specialize across multiple sectors, including finance, healthcare, marketing, consulting, or choose an international track in Singapore.

  • Career outcomes are strong, with graduates securing roles in consulting, IT, banking, and finance, often internationally and rapidly.

  • The program provides access to a combined global alumni network of over 126,000 professionals.


Master's in Data Sciences and Business Analytics

Program Rationale and Market Demand for Business Analytics Professionals

The Master's in Data Sciences and Business Analytics responds to the growing demand for professionals who combine technical data expertise with strategic business insight. Companies require individuals capable of bridging the gap between complex data analytics and actionable business strategy. The program addresses this gap by developing hybrid leaders who can drive value in the modern data-driven economy.


Institutional Partnership

The program is jointly offered by:

  • ESSEC Business School: A global leader in business education since 1907.

  • CentraleSupélec: A pioneer in engineering and data education since 1829.

This alliance integrates business strategy and engineering/data science, producing graduates with a unique blend of technical and managerial skills.


Program Structure

The program spans two years:

Year 1 (M1)

  • Focus on foundational courses in data science and business analytics.

  • Optional summer internship.

Year 2 (M2)

  • Specialization in chosen sectors or the international track.

  • Mandatory four-month professional internship to apply skills in a real-world environment.


Specializations

Students can tailor their studies through seven specialization tracks, including sectors such as finance, healthcare, marketing, consulting, or a fully international track based in Singapore.


Experiential Learning

The program emphasizes practical application:

  • Projects with corporate partners such as L’Oréal and Sanofi.

  • International study trips and exposure to business leaders.

  • Participation in hackathons and real-world problem-solving activities.


Career Outcomes

Graduates achieve high employment rates and international mobility:

  • Ranked third globally for Masters in Business Analytics.

  • Approximately 50% of graduates enter consulting and IT, with others in banking and finance.

  • Two-thirds of graduates secure employment within one month.

  • 83% of roles are internationally oriented, and 40% of graduates work outside their home country.


Alumni Network and Employer Connections

Students benefit from a dual alumni network, combining ESSEC and CentraleSupélec connections, totaling over 126,000 professionals globally. Graduates are actively recruited by top companies, including Google, Amazon, Microsoft, BCG, and Goldman Sachs.


Class Profile

The program emphasizes diversity:

  • Balanced mix of engineering/science and economics/management backgrounds.

  • The average student age is 23, with 81% international students from around 20 countries.

  • Gender diversity is actively promoted, with women representing 45% of the cohort.


Admissions Requirements

Applicants are evaluated on academic background, motivation, and potential to succeed in a hybrid technical-strategic program. Candidates typically have a strong foundation in quantitative or management fields and demonstrate interest in applying data science to business strategy.


Program Orientation

The Master's in Data Sciences and Business Analytics is designed to equip graduates with the skills to transform data into strategic insights and drive business decisions. The program combines rigorous academics, practical experience, and global exposure to produce leaders for the data-driven economy.

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