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ADMISSIONS | Join the Part-Time Specialised Master of Science in Fall 2023

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Mastère Spécialisé (MS) Marketing & Data Analytics

Ranking

1 st rank

Eduniversal ranking 2023 of the best Masters, AM and MBA - Digital Marketing et Data Analytics category

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Programme presentation

As technology continues to advance, organisations are undergoing digital transformation in search of better avenues for growth. This digital transformation leads companies today to rethink their business model as well as their strategic levers of differentiation and value creation for their customers. This requires a process of both cultural and organisational change to meet the challenges of transformation at different levels of management.

At the same time, digital transformation has resulted in an acceleration of the data flows generated by Big Data. From a marketing perspective, this dynamic has naturally placed data, and therefore consumer insights, at the centre of brand strategies with the aim of better mastery of the market, understanding and modelling of multi-channel consumer behaviour and designing and facilitating the customer experience. It is thus a matter of establishing a data culture within companies so as to foster a customer-centric strategy. To be successful, companies must improve their analytic capabilities by adopting the latest and artificial intelligence-based solutions, and also equip themselves with human skills capable of combining predictive and data analysis with marketing and customer relationship decision-making.

The Mastère Spécialisé Marketing et Data Analytics is positioned at the intersection of marketing, technology and predictive approaches. This programme is designed to train experts capable of integrating data analysis for more informed decision-making for better marketing performance and an optimised customer experience.

5 good reasons to join the programme

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A pioneering Master’s degree in terms of its positioning in perfect harmony with the current expectations of companies.

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A course combining marketing, technology and data.

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Active and immersive teaching methods in close collaboration with the leading companies in tech, AI and data exploitation*.

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A multidisciplinary course of study combining analytical and decision-making skills in the service of marketing.

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A work-study programme that facilitates entry into the professional world and ensures tuition funding through professional training contracts.

* Microsoft Azure AI, Dataiku, IBM Cognos Analytics, SAS, Dataiku, Salesforce, Google Analytics, Tableau, SPSS, Power BI…

Othman BOUJENA
Head of programme (from September 2023)

Data Intelligence for Customer Experience and Marketing Performance.

Programme objectives

The programme sits at the junction between marketing, technology and predictive approaches. It is designed to train experts who can integrate data analysis to provide an optimised customer experience.

The programme’s objective is to enable students to:

  • Master analytical methods that employ a perspective involving the smart usage of data in order to solve current marketing problems.
  • Develop a data-driven culture so they can incorporate a customer culture into the company.
  • Master data extraction and analysis through the use of the right tools (SQL, PYTHON, R).
  • Guide, measure, adjust offers and customer relations (Decision optimisation through data visualisation).
  • Define the KPIs and manage the marketing budget.

Skill sets

This programme (Qualification on the RNCP sheet n°36530) enables students to:

  • Develop a customer-centric marketing strategy in a data-driven environment
  • Analyse massive data to monitor the implementation of the customer-centric marketing strategy
  • Conquer and/or develop customer loyalty through a CRM tool
  • Design tools to visualise customer relationship performance
  • Manage the financial and human resources dedicated to customer relations

This programme is accessible via the « VAE » (awarding a qualification based on relevant professional experience).

Programme highlights

Cross-functional business case

At the end of the programme, students will work on a multi-day business case. The objective of this project is to respond to a marketing problem while using all of the skills acquired in the programme (from data recovery to marketing recommendations).

Over the previous three years, we have collaborated with Converteo, Numberly and, most recently, Dentsu.

Hackathon Data Science and Machine Learning

Through the partnership with Dataiku and other key players in Big Data, the students of the Specialised Masters in Marketing & Data Analytics benefit each year from a series of didactic and gamified activities such as escape games or immersive simulations based on technology, creativity, artificial intelligence and the challenges of acculturation to data…

Escape game, immersive simulations and themed conferences

Thanks to the numerous programme collaborations and partnerships, each year students benefit from a series of educational and gamified activities such as escape games or immersive simulations based on tech, creativity, artificial intelligence and data literacy issues. Similarly, themed conferences led by a panel of invited experts on current topics such as data governance, sobriety in tech, cybersecurity and robotics are regularly scheduled throughout the course and linked to the course material.

Adapted programme for high-level athletes and artists

High-level athletes and artists may benefit from an adapted programme in order to pursue both their studies and their passion.

Professional thesis

The professional thesis is a project whose purpose is to identify an issue important to companies and respond to it by using a conceptual approach and empirical research. This project must lead to practical recommendations for companies. Its additional purpose is to help students acquire technical expertise while also developing important soft skills for the job market: critical thinking, complex problem resolution, etc.

Evaluation procedures

The programme is recognised through a dual validation:

  • Ongoing assessment: evaluations conducted throughout the length of the programme in the form of individual or collective reports to be submitted
  • A professional thesis: submission of a written document and an oral defence before a jury made up of an academic tutor and a company tuto

At the end of the programme and after a validation of the ongoing assessment and professional thesis, the Level-7 RNCP of Customer Relationship Manager degree is awarded to the participants.

If some modules were not validated and thus no credits were earned, the programme participant can redo the evaluation during a period set up for this purpose.

The part-time format allows you to remain at your company and promotes your entry and development in the professional world.

Targeted professions

  • Data Analyst
  • Big Data / Digital Transformation Consultant
  • CRM / BI Project Manager, Chief Data Officer
  • Data and AI Product Manager
  • Data Marketing & Analytics Manager
  • Business Analyst, Analytics and Performance Manager…

Our students positioned in companies

Students from the class of 2023 have professionalisation contracts in companies such as:

BEL – CONVERTEO – EURODISNEY ASSOCIES – FNAC DARTY – HACHETTE LIVRE- LVMH – MERCEDES BENZ – SHOWROOMPRIVE.COM – WEFIGHT – YDATA

Performance indicators

84%

Satisfaction rating
on instruction1

1 month

Average time taken
for job search2

100%

Employment rate
at 6 months2

100%

Graduation rate3

Sources: 1 Course Evaluations 2021-2022 | 2 Graduate Employment Survey average 2020-2022 | 3 Jury 2020-2021

Eligibility

This programme is intended for young graduates who want to develop a specialisation or earn a double skill and professionals who want to complement their skills.

We accept applications from students holding one of the following diplomas:

  • Four-year Bachelor’s degree
  • Three-year Bachelor’s + 3 years of professional experience*
  • Level-7 RNCP certification
  • International degree equivalent to the required French degrees noted above

*apart from internship and work/study contract

Nationals of the European Community as well as international students aged under 25 years old and who have been residing in France for at least 12 months are eligible for this programme.

This programme is accessible to people with disability.

Apply

1st step: Application

You need to fill out the application online.

You must include the required documents:

  • CV
  • Two letters of recommendation
  • Marks from your last two academic years
  • Level of English*

*If the applicant does not have results from an English exam (B2 level), the recruitment manager can have the applicant take an online test.

The selection jury will decide on an applicant’s admissibility after reviewing their application.

The applications must be finalised no later than 10 days before the date of the interview.

2nd stage: Admission tests

Applicants deemed admissible after review of their applications then have a motivation interview.

Definitive admission is communicated to each candidate within 7 days of the date of the motivation interview. Application fee: 100 €

Calendar

Motivational interviews take place once or twice a month from January to September. The schedule of admission session dates for the 2023 school year is the following :

  • Tuesday, May 30th 2023
  • Monday, June 12th 2023
  • Thursday, June 22nd 2023
  • Thursday, July 6th 2023

Testimonials

Audrey MAHOP BUT - MS Marketing & Data Analytics, 2022 - Business Analyst IT - Total Energies

Read testimony

Maxime FORTIN - MS Marketing & Data Analytics, 2022 - Data & Analytics Consultant - EY

Read testimony

Hazel DINLER - MS Marketing & Data Analytics, 2021 - Data, CRO & UX - Sephora (LVMH)

Read testimony

For more information, contact our international team:

Practical information

  • Format:

    Part time (One week of lessons, two weeks in the business)

  • Duration:

    12 months

  • Tuition fees:

    €17,400

  • Campus:

    Paris

  • Teaching language:

    French

  • Course start date:

    September

  • Entry level:

    Master’s Degree / Four-year Bachelor’s degree + 3 years of professional experience (apart from internship and work/study contract) / Four-year Bachelor’s degree (30% of class)

  • Degree awarded:

    Specialised Master accredited by the "Conférence des Grandes Ecoles" / Level 7 Qualification on the RNCP (French Register of Professional Certifications) / RNCP sheet No. 36530, Customer Relationship Manager

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Ranking

1 st rank

Eduniversal ranking 2023 of the best Masters, AM and MBA - Digital Marketing et Data Analytics category

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Practical information

  • Practical information
    • Format:

      Part time (One week of lessons, two weeks in the business)

    • Duration:

      12 months

    • Tuition fees:

      0€

    • Campus:

      Paris

    • Teaching language:

      French

    • Course start date:

      September 2023

    • Entry level:

      Master’s Degree / Four-year Bachelor’s degree + 3 years of professional experience (apart from internship and work/study contract) / Four-year Bachelor’s degree (30% of class)

    • Degree awarded:

      Specialised Master accredited by the "Conférence des Grandes Ecoles" / Level 7 Qualification on the RNCP (French Register of Professional Certifications) / RNCP sheet No. 36530, Customer Relationship Manager