• Anglais

Master of Science (MSc) Data Sciences for Business Analytics

Post Bac+3/4

Presentation

EM Normandie's MSc Data Sciences for Business Analytics trains students to use data to make strategic decisions and drive business growth. Taught 100% in English on a french campus in Le Havre, it combines a core education in statistics, machine/deep learning, data management and decision-oriented analytics. The programme also emphasises ethics (RGPD, bias), hackathons and a capstone project to anchor skills in real-life situations.

It's the ideal way to move into data-related professions within organisations.

Level
5-year degree 6-year diploma
Campus
Le Havre
Language
English
Rythm
On-site
  • Strengths and advantages
  • Programme
  • Admission
  • Career
  • Tuition fees and funding

Key features of this programme

    1. A 100% English-taught programme
    2. A one-year programme designed to master data analysis, machine learning, and data management tools to drive data-driven strategies
    3. A “learning by doing” approach to ensure students are immediately operational
    4. Application of skills across diverse sectors: marketing, finance, supply chain, human resources, e-commerce…
    5. Master’s level approved by France’s Ministry of Higher Education and Research

     

    The MSc® Data Sciences and Business Analytics equips students to understand the economic and technological dynamics of digital transformation and their impact on organisations. By combining mastery of analytical tools, critical thinking, and hands-on application to real-world cases, the programme trains professionals to turn data into strategic levers for innovation and decision-making.

    Carlos Plata
    Academic Director

Programme

    • Python for Analytics
    • Data Engineering & Cloud Pipelines
    • Applied Statistics
    • Structured Query Language (SQL), Data Modelling & Warehousing
    • Data Visualization & Storytelling
    • Business Analytics & Decision Science
    • Generative AI & Large Language Models for Business
    • Industry Lab on Artificial Intelligence & Data Analytics
    • Machine Learning for Business
    • Experimentation & Causal Inference
    • Optimisation & Operations Analytics
    • Time Series & Forecasting
    • Communication & Consulting for Data Leaders

    Personal and Professional Branding

    • Career & Job Search Tools
    • French as a Foreign Language (optional)
    • Research Methods
    • Professional Thesis
    • Internship

    Professional Experience

    • Challenge
    • 4-to-6-months company internship
    • Professional Thesis

Admission

    Admission mode

    Selection based on application file and individual motivation interview.
    User's guide for application form

  • I apply to this programme

  • Eligibility for application

    • Candidates must hold a four-year degree in Higher Education (BBA, Master 1, or equivalent). Other profiles may be accepted in derogation from these criteria.
    • This programme is also available over two years for candidates who hold a three-year in Higher Education level (3-year Bachelor Degree, BMI, licence, or equivalent). Tuition fees on request.

    More information about the MSc 2-year Programme : MSc 2-year Programme.

    No English language test score is required for students holding a degree from an English-speaking university. For other applicants, language requirements are: B2 level in English (studies completed in English or official test: IELTS 6 / TOEIC 790 / TOEFL 83 / Duolingo 115) or proof that English was the candidate’s language of study or work fort at least a year.

    Admission procedure

    1. Selection based on examination of the application file: seriousness of the application, quality of the academic and/or professional profile.
    2. Remote interview with an academic advisor: to find out more about the applicant, his/her plans and objectives. The admission decision (admitted, refused) is made a few days after the interview.
    3. Admitted candidates receive a formal e-mail inviting them to pay a deposit (deductible from tuition fees), which enables them to reserve their place on the programme and triggers a final letter of acceptance.

    Application

    Supporting documents required for the application:

    • your CV,
    • your most recent diploma,
    • your transcripts from previous years and your certificate of enrolment for the current year,
    • your covering letter,
    • a copy of your ID (front and back) or passport,

    In addition to the EM Normandie application form, international candidates must approach their local Campus France office to facilitate the process of obtaining their visa. Once the down payment has been received, the School will help International students with their visa procedures and search for accommodation.

    Additional information for funded applicants

    Funded applicants are asked to gather the necessary information as soon as possible so that the administrative documents can be drawn up in good time.

  • Well-being and Inclusion

    Inclusion of students with disabilities

    For several years now, EM Normandie has been committed to the inclusion of students with disabilities and has been striving to make it as easy as possible for them to learn, to continue their studies, to live socially within the school and to find employment. Specific training for its teachers and support services, school facilities, digital accessibility, etc. EM Normandie promotes values of equal opportunities and respect for differences, through the sharing of an inclusive culture and the continuous development of its practices. Are you disabled or have a chronic disabling illness? We can provide you with comprehensive support, whether it be in the context of your classes/exams, your search for internships, work-study programmes or jobs, or even in preparing for your expatriation.

Career opportunities

    Employment market overview:

    The global employment market for data science and business analytics professionals is expanding rapidly, with demand for data-related roles projected to grow by around 30–35 % by 2030, well above the average for all occupations. Worldwide, over 40 % of organisations report difficulties recruiting qualified data professionals, highlighting a persistent talent shortage and strong graduate employability. Opportunities span all major sectors - including consulting, finance, technology, healthcare, retail, and logistics - and offer high international mobility.

    Application areas:

    • Finance & FinTech
    • Marketing & CRM
    • Retail & E-commerce
    • Operations & Supply Chain
    • HR & People Analytics
    • Consulting & Strategy
    • Digital Products & Platforms

    Examples of possible career opportunities

    Once you have completed your training in Data Sciences, you will be able to access career opportunities in the data, consulting and marketing sectors.

    • Strategy, Analytics or Digital Transformation Consultant,
    • Data Scientist,
    • Data Analyst,
    • Business Analyst,
    • BI Engineer,
    • Product Analyst,
    • Growth Analyst,
    • Marketing/CRM Analyst,
    • Supply Chain & Operations Analyst

Tuition fees and funding

    Tuition fees for the year 2026-2027:

    • Tuition fees: 15 500 €
    • The tuition fees include membership of the EM Normandie Alumni Association, which gives access to all the Association's services and lifetime membership.
    • Application fee: Applicants will be asked to pay 50 € to have their application reviewed.

    In addition:

    • The Contribution Vie Etudiante et de Campus (CVEC), worth 105 €, by logging on to the dedicated platform.

    Tarifs applicables aux étudiants s'inscrivant pour la première fois en 2026.

  • Fundings

    Various options are offered to students to fund their studies:

  • International payment methods

    We are a partner of the Flywire platform

    This online tool facilitates the procedures of international students by offering the following services:

    • Online tracking of transfers
    • Payment in the national currency, which reduces costs
    • Choice of many payment methods

    Get the brochure

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