msc data science & business analysis

MSc Data Science & Business Analysis

The MSc Data Science & Business Analytics trains managers able to turn data into strategic decisions, combining analytical tools, business acumen and predictive-modelling skills.

  • September 2027
  • 1 year, Full-Time
  • 120 ECTS
  • English
  • €15,900

MSc DATA SCIENCE & BUSINESS ANALYSIS

Anticipate the changing needs and expectation of the markets with input from IT, mathematics and business, and learn how to use data in decision-making processes in order to optimize business performance. 

The program is labeled MSc – Master of Science the Conférence des Grandes Ecoles.

 

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KEY INFORMATION

  • THE OBJECTIVES MSc IN DATA SCIENCE & BUSINESS ANALYSIS

    Collect, structure and exploit large-scale data to serve business decisions.​

    Master statistical methods, machine learning and data-visualisation tools.​

    Translate business problems into actionable analytical models.​

    Communicate clear, data-driven recommendations to decision-makers.

  • End-to-end data project on a real dataset provided by a partner company, from collection to a decision-ready dashboard.​

    Tooling certification: preparation for recognised market references (Python, SQL, Power BI / Tableau).

  • Start date: 

    MSc2 in Data Science & Business Analysis (DSBA): Wednesday, September 16, 2026

  • Start of academic year September 2027:

    French and International students:

    Direct entry in 2nd year: €15,600

    DISCOVER THE DIFFERENT TYPES OF FINANCING AVAILABLE

  • Data Analyst / Business Analyst​

    Data Scientist​

    Business Intelligence Consultant​

    Product Analyst

  • Graduation rate: 83.3% (2024-2025)
    Number of students taking the examination: 6 (2024/2025)
    Further education rate: 0% (2023-2024)

A word from the director

"An MSc is the moment when you commit seriously to a profession, a discipline, a way of working. Our programmes are designed to give you the means for that commitment — teaching that holds you to a real standard, faculty who genuinely know their sector, and the time to grow into the field you have chosen. You will leave changed by what you have done here. That is the point. I invite you to come and meet us, and to imagine what you might build here."

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kate robinson programme grande ecole

Kate ROBINSON, Director of Masters of Science (MSc)

PROGRAMME

SAMPLE COURSES, TEACHING METHODS AND ASSESSMENT METHODS

Machine Learning & Predictive Analytics: build and evaluate business-applied models.​

Data Visualization & Business Dashboards: structure and communicate data for decisions.​

Big Data Tools & Data Engineering: master large-scale data environments.​

Business Analytics & Decision Making: connect data analysis and strategic steering.

  • Project-based learning: case studies, team projects, associative projects 
  • Learning through co-construction of knowledge: flipped classrooms 
  • Blended learning: use of computer and video tools for plural teaching, both face-to-face and distance learning
  • Immersion learning: in companies (internships, work-study programs, missions, community life) 

Throughout the academic curriculum, students are evaluated in multiple ways: 

  • Continuous & Partial Assessments
  • Master's thesis: Students write a dissertation and defend it in front of a jury composed of two professors. Validation of the MFE is one of the conditions for obtaining the diploma.

The faculty evaluates students through six key cognitive skills:

  • Comprehension: quizzes, matching exercises... 
  • (Re)recognition: quizzes, matching exercises...
  • The application of concepts and theories: practical exercises, simulations, etc.
  • Analysis: problem solving, case studies...
  • Immersion: case studies, reviews, missions, business game
  • Creativity: projects, entrepreneurship...
GATEWAYS AND EQUIVALENTS, CONTINUING EDUCATION AND VALIDATION OF PRIOR LEARNING AND EXPERIENCE

There are no bridges or equivalents: all enrolments in the programme require you to complete all modules. 

If you want to continue your studies after the MSc IN Data Science & Business Analysis, you can! 
You can, for example, subject to the prerequisites, decide to do a doctorate or a Master of Science in another speciality of your choice.

DISCOVER ALL THE POSSIBLE OPTIONS

Working professionals can apply to have the skills they have acquired in a professional situation recognised through a process known as Validation Of Prior Learning and Experience (VAE), subject to an application being submitted more than 9 months before the graduation jury.

For more information, please contact our Admissions Department:

JOINING THE PROGRAMME

CANDIDATE PROFILE AND PREREQUISITES
  • Ideal for reinforcing your general management fundamentals and starting to specialise in a particular field.

    • For students with a Bac+3 or international equivalent.

    Admissions:

    • National students: application and interview 
    • International students: application, interview and language test

    Make an appointment

    Application deadline: according to the terms and conditions of the competition or on the day the programme starts (except for foreign students requiring a visa 8 weeks before the start of the programme).

    If you have a disability and would like to join us, you can find more information on our accessibility page

  • Ideal for achieving a high level of specialisation and obtaining a level 7 RNCP qualification.

    For students with a Bac+4 or international equivalent.

    Admissions :

    • For national students: by application and interview 
    • For international students: by application, interview and language test

    Make an appointment

    Application deadline: according to the terms and conditions of the competition or on the first day of the programme (except for foreign students requiring a visa 8 weeks before the start of the programme).

    If you have a disability and would like to join us, you can find more information on our accessibility page

Information request
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