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MSc in Data Analytics & Artificial Intelligence

MSc in Data Analytics & Artificial Intelligence

of jobs have an international dimension
Placement Report 2018

At a glance

The MSc in Data Analytics & Artificial Intelligence will hone your business decisionmaking skills. You will acquire the skills to implement, use and monitor new disruptive technologies and to be at the heart of marketing decisions. The programme prepares you for a wide range of positions and opportunities where programming, quantitative analysis, critical thinking and business management skills are essential.

Language: English 
Location: Lille Campus 

Start Date: Early Sept-20
Deadline to apply: 30-Jun-20



Open Classrooms: the leading European online educational platform.



Le Wagon is a coding bootcamp: students learn to develop web applications from scratch. Since 2017, Le Wagon Lille and the MSc in Data Analytics & Artificial Intelligence have partnered and offer students a 9-week Bootcamp to learn how to code.



French multinational communications and digital transformation partner, Publicis Groupe is the corporate sponsor of EDHEC’s MSc in Data Analytics and Artificial Intelligence. The Master’s programme gives students in-depth insights into the fields of digital transformation and artificial intelligence, backed up with data expertise, analytical proficiency and finely honed business decision-making skills.




  • Apply your data analytics expertise to a wide range of industries
  • Acquire skills in programming and data science
  • Devise successful analytics strategies
  • Conduct Big Data projects and manage innovation 
  • Enriching practical experience with real problems
  • Master critical thinking tools and create successful, actionable and innovative strategies
  • Learn a new tech language
  • Develop a disruptive entrepreneurship spirit
  • Communicate effectively and professionally, both in written and in oral communication
  • Demonstrate thinking and problem-solving skills applied to the intersection of data science, IT and managerial challenges
  • Understand economic, societal, business and ethical impacts of Artificial Intelligence



Sept – May: academic courses / June onwards: work experience



♦  1-year full-time programme taught entirely in English  
♦  6 core modules & 7 electives
♦  Talent Identification & Career Development (TI&CD)  
♦  3-6 month internship / work placement  
♦  Master Project
♦  French Classes



  ♦  Artificial Intelligence 
  ♦  Business Analytics
  ♦  Customer Intelligence & Analytics
  ♦  Data Visualization
  ♦  Web Analytics
  ♦  Data Sciences
  ♦  Machine Learning
  ♦  Programming
  ♦  User Experience Management
  ♦  Digital Strategies
  ♦  Data Regulation & Security
  ♦  Big Data Technologies


The personal and professional benefits of an internship are immense and long-lasting. Expanding your global contact network is no different. During your internships abroad you will develop valuable business relationships which will take your career goals to an international level. Many students find their jobs as a result of internships during their time at EDHEC.



The Master Project allows you to put acquired knowledge and skills into practice. If you prove your ability to perform high quality research, EDHEC faculty or members of its research centres may, working under their supervision, offer you the opportunity to deliver your Master Project in the form of applied research.




Average Age
Age Range



Key Figures

of jobs have an international dimension



Europe (France 80%)

Middle East/Africa

Main sectors


Food Industry


Main functions

Data and IT
Business Development


Selection Criteria for the 1st Job

Adapted to Career Plans (salary / company's reputation / job description / sector)


Key Recruiters

  • 55
  • IBM




“I am excited by the MSc in Data Analytics & Artificial Intelligence and its ability to make the experience of learning exciting, cutting edge and meaningful to the business challenges confronting the world today. The development of this MSc programme is the cultivation of my, 20-years of experience as an educator and practitioner. It fulfils my purpose to create a platform to educate the brightest minds interested in data sciences and business analytics. I chose to create the MSc in Data Analytics & Artificial Intelligence at EDHEC because the spirit of this business school corresponds to the mission and values of our programme: to bridge the gap between data specialists, IT managers and decision makers and build the new generation of managers able to create successful and innovative strategies for the digital age. I am thrilled to help shape the future of our industry.”


Our teaching methods are aimed to give you the core competencies necessary to compete in a complex and competitive business environment. You will learn to deepen your analytical thinking, develop practical skills, and design creative strategies for business success.

Our methodology includes:

♦  A core curriculum that is relevant to today’s business needs

  • Embraces the latest technology
  • Responds to trends in the market
  • Co-developed with leading business partners

♦  Blended learning

  • Tutorials
  • Lectures
  • Workshops
  • Seminars

♦  Applied learning activities

  • Business Games
  • Case Studies
  • Entrepreneurship Projects

♦  Personal performance coaching

  • Interviewing strategies
  • Teamwork development
  • Intercultural communication skills

CHARKI Mohamed Hédi, PHD

Associate Professor - Information Systems, EDHEC Master

CROUX Christophe, PhD

Head of Data Science, Economics and Finance Faculty - Professor


Assistant Professor


Head of Faculty (Law), Professor & Member of the LegalEDHEC research centre


Associate Professor

VERBEECK Cédric, phd

Assistant Professor

  • Le Wagon or Openclassrooms: Le Wagon is a career booster for business school students about to work in technological environments. This training will help you differentiate yourself from a more traditional profile when you are looking for Product Manager or Data Analyst positions. Le Wagon hands over all the tools you will need to develop a project or work hand in hand with a technical team and comprehend their mindset. As the saying goes "The code is the new alphabet", therefore learning how to code through Le Wagon Bootcamp is a great opportunity! To get certified by Openclassrooms, you will have to complete the full tracks (Data Analyst or Data Scientist).
  • Google Analytics: Analytics Academy will teach you how to use Google's measurement tools to help you grow a business by implementing intelligent data collection and analysis methods. You can get individual certification. 
  • Challenge Le Tableau: EDHEC's MSc in Data Analytics & Artificial Intelligence gives students in-depth knowledge by mastering Tableau, the interactive data-visualization software and holds a challenge. 

During each step of your learning experience, you will acquire progressive, in-depth and practical knowledge in data sciences, computing, business & digital analytics, business intelligence and artificial intelligence.


  • Le Wagon: full stack bootcamp in coding (see also Company Partners for details)
  • Open classrooms: you can choose one of these tracks: data scientist, data analyst, front end developer.  

  • Le Wagon: See Company partners for details.
  • Workshop Introduction to R: The course objective is to provide students with a basic knowledge of R. The coding tools will be used to analyse Google, smartphone and climate data among others.
  • Advanced Excel for Business Analytics: The course aim is to reinforce students competency in using MS Excel as a business modelling tool. In particular, the course will focus on designing robust, reliable, easy to maintain and update models, manipulating and organising large data set, understanding and implementing different probability distribution functions when modelling business problems, and defining and programming performance optimisation problems aimed at maximising/minimizing a business function outcome. 
  • R for Data Sciences: Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. The lectures focus on modern tools to manipulate and visualize data with R.
  • Building Data Sciences Toolkit with Python: This course will decipher the keys areas of machine learning using Python.
  • Programming with Python: This course will focus on scientific computing with Python.
  • NoSQL Data Base


  • Statistical Models: Collection and analysis of data enhance business insights. Statistical models are powerful tools for data analysis. The most well-known statistical model is the linear regression model, where a variable of interest is explained and predicted by a collection of other variables. In this course, we start from the linear regression model and show how it can be applied and extended. The focus is on understanding the methods and applying them to data using the software.
  • Advanced Statistical Models (Data science track): This course will provide mathematical and statistical foundations of parametric, semi-parametric and non-parametric models.
  • Data Mining: In business and society, in general, there is an abundance of data available. The process of retrieving useful information from these data is called data mining. In this course, we present different data mining methods and show they can be useful for management purposes. We will perform analysis using the R software. The focus is on understanding, intuition, limitations, and practical use of the methods.
  • Workshop Time-series Forecasting for Business Analytics: In business practice, it is important to forecast future values of business and economics series like sales, profit, inflation, and many other economic and business performance indicators. Time series modelling allows making such forecasts. The course focuses on those methods.
  • Machine Learning for Time Series Analysis (Data Science track): This course will develop further expertise in time series analysis using recent advances in machine learning/data science.
  • Introduction to Machine Learning: This course provides an introduction to statistical learning algorithms with a focus on regression, supervised classification and scoring methods. After a presentation of the mathematical setting, the lecture presents some of the most important learning algorithms (penalized regressions, tree algorithms, boosting, random forests). For each algorithm, a particular focus will be done on the estimation of the performances. Applications of the proposed methods on real and simulated data are presented.
  • Advanced Supervised Learning (Data Science track): This course will develop the statistical and mathematical foundations of supervised learning methods.
  • Building Data Sciences Toolkit: This course will provide more advanced insights on machine learning techniques. Special attention will be paid to the algorithmic foundations (in Python) of the theoretical implementation of the state-of-the-art data science methods.
  • Advanced Data Sciences (Data Science track): This course will provide deep insights into some of the techniques required for statistical and machine learning. Special attention will be paid to the theoretical and mathematical foundations of the field (empirical risk minimization, supervised and unsupervised classification, prediction, performance guarantees, etc.).
  • Deep Learning (Data Science Track): This course will provide insights into some of the techniques required for deep learning, especially Perceptron, multilayers perceptron, convolutional neural networks, and recurrent neural networks.
  • Data Visualisation: You will learn how to use Tableau Software to create advanced, interactive dashboards and create Data Visualizations that helps to answer business questions and make decisions.
  • Advanced Data Visualisation: This course will provide more advanced tools for data viz using up-to-date tools of Le Tableau Software.
  • Data Visualisation and Storytelling: This course will emphasize principles, theory, processes, and techniques used to build effective visuals helping students to choose the best way to show data and communicate with data. This lecture relies heavily on the practical application of data visualization and case studies and will give students the foundations they need to be able to present data using engaging and impactful visual design and tell stories about the data that resonate to the audience. 
  • Data Analytics: This course will focus on different applications of data analytics, namely CRM - Digital Marketing,  Risk,  Fraud Detection,  Operational efficiency, and New Business Models.
  • Web Analytics: This course will emphasize principles, concepts, and systems used in digital marketing, SEO (search engine optimization), SEA (search engine advertising) and SEM (search engine marketing). This lecture is adapted to students who want to work in the digital sector and will give them skills and competencies for operational decision in the digital sector. A focus will be done on the certification and keywords referencing (Ads/Analytics). In this course, students will learn how to drive traffic to a website through a multi-channel approach and convert visitors into customers. They will also learn how to create effective digital campaign strategies using viral marketing and online ads with Google Ads.
  • Advanced Web Analytics: This course will provide more advanced tools to analyse and conduct web analytics.
  • Customer Analytics: This course provides insights into some techniques required for customer modelling. Especially, students will be able to build CRM models for customer acquisition/up- or cross-sell/customer churn and segmentation, to take appropriate business decisions based on the outcomes of analytical models and communicating results and conclusions towards professionals, and to analyze and develop a customer management strategy for an organisation.
  • Customer Intelligence: Contemporary approaches to business, and especially marketing, emphasize the importance of adopting a customer focus. Notably, an essential component to success is customer/consumer insights. The objective of this course is to acquire knowledge about where and how such customer intelligence can be gathered. In this course, students will learn how to collect and interpret various offline and online customer intelligence methodologies, and learn how to transform such data into customer-based strategies using experimental designs, text mining and customer journey analysis.
  • Supply Chain Analytics: This course will explore the essentials of supply chain technologies, performances and analytics. Especially, the core methodologies in supply chain analysis and modeling will be presented and discuted through case studies. Moreover, you will learn how choices are made with respect to corporate strategy, brand, and time to market.
  • Case Studies in Business Analytics (Business Analytics track): The course will give students the opportunity to evaluate typical business analytics in a “hands-on” approach/ Notably the course illustrates how different quantitative
    approaches can be used together with the wide variety of data available to businesses, to support decision making in all key management functions.
  • Demand Management & Performance Optimisation (Business Analytics track): The course will focus on the implementation of predictive and prescriptive models/methods within key business management processes in support of more effective decisions. The efficiency of most business decisions, regardless of heir types and market sectors, depends crucially on the reliability of the forecasts used for evaluating different outcomes and eventually choosing the “best” options. The course illustrates how Demand Management and Performance Maximisation, generates significant performance gains across an organisation.
  • Social  Network Analytics (Business Analytics track).

    • Foundations of Artificial Intelligence: This course will focus on understanding the opportunities and implications of artificial intelligence in the management of companies, organizations, industries and business ecosystems.  It will also discuss the innovations that support managers in the incubation, evolution, adoption and implementation of AI tech.
    • Artificial Intelligence: Technological, Social and Economic Impacts: The ability to collect and organise more and more data, the development of machine learning and the massive investments of the tech giants and VCs have been strong catalysts to support the development of AI.  Arguably the rise of AI  and its dissemination are among the main challenges our society will face in the 21st century. By analysing AI trends through the technological, the societal and the economic impacts, this course will allow students to understand AI phenomena and its challenges.
    • Business Applications of Artificial Intelligence: In this course, students will get the foundational understanding of where we are today with Artificial Intelligence (AI) both from a technology standpoint and from a business standpoint---AI being defined as a collection of technologies inspired by the goal of understanding and implementing intelligent behaviors.  Key AI technologies will be covered like machine learning, deep learning and computer vision, natural language processing and a strong focus will be on the business implications of AI.
    • Big Data & Blockchain: new challenges for firms: The objective of this course is to learn students the technical concepts underlying Big Data technologies and Blockchains. In addition, students will be sensitized to governance issues for firms and society at large.

    • Introduction to Digital Transformation: This course will explain the process of digital transformation. Based on the 4 “key success factors in the digital” – platform, co-creation, delivery, managing change – and around the example of e-commerce, this course is adapted to anyone who needs to understand the digital transformation from a global perspective, and not only technical. A particular focus will be done on soft skills – digital transformation is foremost all about human interactions. Students will have the opportunity to work around a business case.
    • Project Management: This course will provide students with executive insights into the fundamentals of project management. It will provide both the traditional and the modern “Agile” frameworks used in various industries in order to increase efficiencies and the likelihood of success of complex projects. The course will include lectures by the instructor, readings, case studies, presentations and class discussions.
    • Managing Innovation & Digital Transformation: This course has two main objectives. First, it prepares students for the challenges of managing innovation & digital transformation within existing companies.  Second, it makes students aware of the different generic use cases of Big Data in companies and allows them to develop a high-level Big Data Strategy.  
    • Digital Marketing (Business Analytics track): Data science plays a key role in understanding consumer behavior. But managers must also understand the foundation, the logic and new forms of customer behavior in an ever-changing digital world. This is where digital marketing comes into play!
    • Digital Marketing Strategy: The objective of this course is to introduce students to the strategic and tactical issues of digital marketing and for them to apply this knowledge in case studies and exercises.
    • Digital Strategy: Business organisations increasingly depend on digital technologies. However, managers regularly complain that their technology investments and solutions often fall short of expectations. They face problems in planning, evaluating, implementing and reviewing technological decisions. Central to overcoming these problems is an appreciation of the digital strategy of the company. To take advantage of opportunities created by the digital economy, companies need to transform their strategy, technological infrastructure, and operations. This often entails building digital platforms or engaging in a collaborative ecosystem.
    • Digital Ecosystem Around Business Marketing (Business Analytics track): The purpose of this course is to identify the main stakeholders around Digital Marketing from a business perspective, and explore how they actually interact with each other.
    • Data Regulation: Data Ownership & Protection: Data regulation is a fundamental issue in data and business analytics. This course is designed to provide you the key concepts and issues related to data ownership and protection (e.g., consumer’s privacy). Moreover, a special focus on the GDPR will be conducted during the course.



    This course is a practical, hands-on approach to key advanced Machine Learning algorithms and their applicability to solving business problems.You will have the opportunity to review all of the Machine Learning algorithms you have learned in your other classes. During this course, further examples will be demonstrated using Python and R, and you will develop your own project.

    Learn how the Internet of Things (IoT) is transforming the world of business. This course explores the way companies are leveraging IoT technologies and the unique challenges that arise with the massive adoption of these new technologies. Through a series of case studies, you will discover the way organisations are adopting and implementing IoT and addressing the challenges of IoT management at a large scale. You will learn to use the IBM Internet of Things Foundation to manage and implement IoT devices and apply them to key industry use cases.

    In this course you will learn how cities create value from data, cloud and citizen engagement and how data and information technology influence city-effectiveness in planning and management, optimisation of city infrastructure and supporting the needs of each citizen. Using case studies, the course will explore solutions for Smarter Water Management, Smarter Transportation Systems, and Smarter Energy.  The goal is to give you a deeper understanding of how big data, internet of things, and advanced data analysis can help intelligent urbanization and shape cities and urban areas.

    The commercial exploitation of advanced data analytics and big data raises a number of concerns from an ethical viewpoint, ranging from privacy, discrimination, manipulative nudging all the way to risks of deepening social inequalities. At the same time, big data holds the promise of improving our knowledge about human behaviour and society, which could, if well used, ease precisely the aforementioned problems. In this course, you will learn to analyse the negative and positive potential of big data from a normative standpoint.

    This course caters to students wanting to work in the healthcare sector. You will learn the principles, concepts, and systems used in the field and discover how the implementation of IT is disrupting the industry. You will gain the newly needed skills and competencies for managerial decision making in this sector and learn how E-health, M-Health, and IoT are playing a central role in the medical environment.

    Career Centre

    EDHEC Career Centre helps you to master your career plan.

    A dedicated team organises numerous training and recruitment events, on- and off-campus, to prepare you for challenging international recruitment processes and to help you network with potential employers.

    The EDHEC Career Centre is a one-stop-shop for career development. It offers an integrated career programme designed for you to define and achieve your career goals: the Talent Identification & Career Development (TI&CD) programme.

    Fine-tune your career plan. The Career Centre helps you design your job-search strategy and assess your recent work experience and managerial competencies. The TI&CD programme, unique in Europe, evaluates and assesses your strengths and areas of improvement based on 8 managerial competencies defined by international recruiters. The TI&CD is a real career booster enabling EDHEC students to assess and hone their managerial competencies to be particularly efficient in their first job.


    List of services Career Centre provides:

    • Individual career counseling (on campus, via phone, via skype) with internal and external counselors
    • Help to define career goals and search strategy
    • CV and CL correction in English and French
    • Career training and workshops (CV, CL, application forms, interview skills, networking, social media, personal branding, etc.)
    • TI&CD
    • Graduate Programmes
    • On-campus events
    • Off-campus events
    • Website with plenty of career resources
    • Placement reports
    • The Teaching Factory concept

    Every year EDHEC Career Centre organises a number of events throughout the year to give its students an opportunity to learn about job and internship opportunities offered by companies, government agencies, and non-profit organizations where they might like to work with.

    • 120 corporate events across campuses
    • +110 companies at our Paris Career Fair
    • 40 companies, of which 50% are international, at our Finance Career Days
    • International Graduate Programme Day
    • Industry-specific events: luxury, audit, marketing, etc.
    • Explora Digital Certificate.

    Learn more about the various events organised by the career centre department. 

    Programme Insights

    Selma Rahib, French, EDHEC-2019
    is on two-year graduate programme with Expedia-London
    Martin Parenti, French, EDHEC-2018
    Co-founder of Delictus-Paris
    Nicolas Esnis, French, EDHEC-2018
    Data Analyst at Adikteev-San Francisco


    - 08-07-2020
    What is your education prior to the MSc? I did a French classe préparatoire at Lycée Faidherbe in Lille. I made this choice because at the end of high school, I did not know what to do. But I quickly realised that I did not want to join an engineering school.   Why did you choose the MSc in Data Analytics...
    - 19-06-2020
    The students were split into 10 groups. They had three months to design data-based solutions aimed at boosting the online sales of Bouygues Telecom’s premium plan, Sensation. They were coached in how to create a digital strategy for an innovative user experience by their “Going for Digital Transformation” lecturer,...
    - 17-06-2020
    From June 15th, all restrictions on movement at its European internal borders (land, air and sea), which have been applied to fight the COVID-19 pandemic, are lifted. People arriving from the European Union Member States as well as Andorra, Iceland, Liechtenstein, Monaco, Norway, San Marino, Switzerland and the...

    Next Steps



    ♦  FEES: €24,900


    ► Please Note: Applications are received and evaluated on a rolling basis until 31st of July 2020.

    Fees include:
    • Tuition fees
    • Access to the EDHEC Career Centre with personal career coaching during your studies and for the duration of your professional life
    • Access, as a matriculating student, to on-campus facilities (incubator, learning centre, sports facilities, etc.)
    • Lifetime access to the EDHEC Alumni community
    • Administrative fees

    COVID-19: access our adapted admissions procedure

    We are looking for intellectual talent with a history of achieving high-level goals. 

    ♦  4-year bachelor degree (or equivalent).
    ♦  Excellent academic profile. 
    ♦  Computing knowledge is a “plus” (VBA, statistical software, Html5, Css, Ruby or Python)
    ♦  Strong GMAT or GRE or Tage Mage or CAT* official test score report. (CAT* for Indian students only).
    ♦  Acceptable English proficiency tests/certificates (TOEFL, TOEIC or IELTS)

    • TOEFL Internet-based ≥ 92
    • TOEIC ≥ 850
    • IELTS ≥ 6.5
    • Cambridge Test of English > 175

    ► English native speakers or those holding a degree taught in English (minimum 3 years) are eligible for an English Test Waiver.

    Admission to the EDHEC Master programmes is highly selective. Normal entrance requirements include: a Bachelor’s degree (or equivalent) from an accredited school, college, or university; academic excellence; superior scholastic potential (certified by GMAT, GRE, Tage Mage or CAT scores); and English language proficiency. Admission decisions are made on the basis of your overall profile as reflected in the application pack.

    Successful  candidates come from a wide range of education backgrounds and experiences. They also display distinguished academic excellence, strong analytical skills, interpersonal competencies, international awareness, have proven motivation to undertake the programme, the capacity to make significant contributions to EDHEC Business School’s learning environment, and the potential to succeed as professionals, managers and leaders in the related field of study. The Selection Committee relies heavily on profiles, motivation letters, recommendation letters, and CVs.

    The online service will enable you to apply for every Masters programme offered at EDHEC Business School - Master in Management (MiM) or Master of Science (MSc). Your application file will be processed by the Admissions Team and sent to the Selection Committee for appraisal. You will be informed by email of the evolution of your file including the final decision.

    ♦  If you are a new user, you must create your account / Sign up.
    ♦  If you already have an account (candidate EDHEC student), please jump directly to step 5 by clicking on the "Apply online" button. It means you are already in the system, so there is no need to "create your account".
    ♦  After creating your own account you will receive a validation e-mail. Click on the link provided in this mail to activate your account.
    ♦  You will then receive a confirmation containing your personal login and password.
    ♦  Once you register or if you already have a valid EDHEC account, access the online-application form and enter your login.

    ♦  To avoid losing your information during your application, please do not refresh the current page or go back to the previous one without saving your application first.
    ♦  Your application may be done in several stages. The information entered each time will not be lost.
    ♦  Before going to the tab "Payment", please check that you have not forgotten any element of your application file and that all the information is correct. Further modifications will not be possible after payment has been made.
    ♦  Application fees must be paid online.
    ♦  After validation, your application will reach to the final stage and no reimbursement will be possible, even in the event of your withdrawal.
    ♦  If you encounter any technical problems during the completion of your online application, please send an email to:
    ♦  Important Note: Please use only ONE email address to submit your Online Application and to communicate with the Admissions team.

    EDHEC offers various scholarships & financial aids based on merit and financial need of the student. The French Ministry of Foreign and European Affairs also offers a large number of grants and scholarships. Lastly, students accepted to EDHEC are entitled to apply for private loans to cover the cost of their tuition fees.

    The EIFFEL Scholarship offers financial support to high-achieving international candidates. It awards about €1200 per month. The scholarship is financed and managed by the French Ministry of Foreign Affairs and International Development

    Who can apply:

    Any students under 30 years with an excellence profile:

    • GMAT 650 or above (GRE accepted). Please note that it is not mandatory for programmes not requiring this GMAT test. 
    • Acceptable English proficiency tests/certificates (TOEFL, TOEIC or IELTS)
      • TOEFL Internet-based ≥ 92
      • TOEIC ≥ 850
      • IELTS ≥ 6.5
      • Cambridge Test of English > 175
    • Excellent academic records (GPA)
    • Strong motivation and clear objectives
    • Awards, previous scholarships, achievements etc.

    When is the deadline: Complete applications must be sent to EDHEC before 1st December

    More information:

    To note: EIFFEL and EDHEC scholarships cannot be combined.

    EDHEC offers scholarships to support high-profile candidates based on the excellence of their academic profile, impressive experience and extracurricular activities. A request for financial aid must be made at the time of application via the Financial Aid & Scholarship Form.

    • Excellence Scholarship: tuition reduction of 30%
    • Distinction Scholarship: tuition reduction of 20%
    • Foundation Scholarship: tuition reduction of 15%

    Who can apply:

    EDHEC scholarships are reserved for applicants with excellent profiles:

    • High GMAT score
    • Excellent GPA
    • Impressive extracurricular activities/memberships

    When is the deadline:

    • Excellence Scholarship: before March 31st.
    • Distinction Scholarship: before June 30th.
    • Foundation Scholarship: before June 30th.

    More information


    for Indian Students

    The Co-Financed Scholarship is a joint initiative of EDHEC Business School & Embassy of France in India. This scholarship is offered to two Indian students (2 scholarships of 50% for MiM Programmes) with an excellent academic background and clear career objectives. 

    Who can apply: Indian students who have been accepted into EDHEC's Master in Management programmes with high ranks from our selection committee.

    When is the deadline: Students should complete their application file before 31st March and if accepted, must confirm their seats before 21st April.

    More information


    for Russian Students

    The Co-Financed Scholarship is a joint initiative of EDHEC Business School & Embassy of France in Russia. This scholarship is offered to the Russian citizens and to Russian students (1 scholarship of 100% for MSc programmes) graduated from Russian Universities with an excellent academic background, clear academic vison and career objectives.

    Who can apply: Russian students who have been accepted with high ranks from our faculty in one of EDHEC’s 1-year MSc programmes. 

    When is the deadline: Students (applying for MSc programme) should complete their application file before 31st March and if accepted, must confirm their seats before 21st April.

    More information


    French Embassies offer a number of scholarships which are available for excellent students from all over the world. 

    More information: Please contact the Cultural Service of the French Embassy in your country 


    Campus France is a French national agency for the promotion of higher education, international student services, and international mobility. Campus France manages CampusBourses, a grant search engine that is an essential tool for financing your education in France.

    More information: CampusBourses: grant search engine 


    QS-EDHEC Scholarship is an exclusive scholarship to attendees of the QS World Grad School Tour. Scholarship value:  50% of tuition fees

    Please follow this link to learn more about this scholarship.

































    • By Fongecif: EDHEC has particularly close ties with Société Generale, BNP Paribas, LCL and HSBC. 





    • Apply to: Deutscher; Akademischer Austauschdienst e. V. (DAAD) Referat 312, Postfach 200 404, D-53134
    • By EDHEC exclusively for students and Master Day participants
    • By BAföG  (for MiM programmes)



































































    The International Students Office (ISO) assists students to settle in smoothly in France by organising orientation events and multicultural seminars to welcome international students to EDHEC Campuses in Lille and Nice. The team guides students with administrative procedures before their arrival and during their stay and answers all questions about French systems (medical and home insurances, banks, resident permits, etc.). 

    Discover the International Students Office website


    What are the deadlines to apply for the programmes? 

    • 30th June (In 2020, the deadline for the MSc programmes is extended to 31st July; the deadline for the MiM programmes remains on 30th June.)

    Do you accept scanned documents?

    • Yes, you can make scanned colour copies of the documents required.

    Should the application file and the two recommendation letters be typed or written freehand?

    • Recommendation letters: our templates can be used or written freehand.

    Will the International Admissions’ team contact the referees to send the letters of recommendation?

    • No, referees should email their letters of recommendation directly to using their professional email. Emails from personal accounts such as yahoo, gmail, hotmail, etc. will not be accepted.

    Will my referees receive an automatic confirmation when they send the letters by email?

    • No, no automatic email will be sent to your referees. Please inform them that they should expect to receive an email confirmation later from the Admissions’ team.
    • Please note that you will be copied to this email as well to acknowledge the good reception of the letters of recommendation.

    Will I have an interview with the Programme Manager?

    • There is no direct interview with the Programme Manager for students applying for our MIM or MSc programmes unless the Programme Director thinks it is necessary.

    Can I apply for more than one programme?

    • It is possible to apply for two programmes.  A separate motivation letter is required for each programme.


    • English proficiency test
    • What are the expected scores?
    • TOEFL =>95 (/120)
    • TOEIC =>815 (/990)
    • IELTS => 6.5 (/9.0)
    • Cambridge Test of English => CPE

    What is the EDHEC's institution code for the TOEFL?

    • Code: 0663

    Can I apply for a waiver?

    • Waivers apply for native-English speakers and for those who have studied in English.

    What is the difference between the MIM and MSc?

    • The EDHEC Master in Management is a 2-year programme designed for students under 29 seeking to increase their general management skills. Also known as "Grande Ecole", the programme awards students a double degree: Year 1: Master in Management degree and Year 2: Master of Science degree
    • Our MSc are specialised programmes accessible to students who wish to acquire new knowledge in a specific field or further strengthen their existing expertise.

    Is there any help for students on campus regarding housing?

    • Once officially enrolled, you will be assisted to find suitable accommodation either in the EDHEC residence or in privately owned flats. EDHEC's International Office is familiar with the VISA formalities of most countries and will provide you with the necessary papers. You may contact the International Office to express your concerns about your visa application, provided you have already checked the necessary pages on the Welcome Guide and contacted your local Embassay first. One of the requirements for most VISA applications is proof of accommodation in France. Again the international Office is on hand to provide you with a list of apartments, halls of residence and other types of housing according to your criteria. You can even "visit" them virtually using our new Housing website. The team will do everything they can to make arrangements with the owner and secure your reservation. It will also pick you up from the airport on your day of arrival (when possible) and take you directly to your new home.


    GRE and Tage Mage accepted. CAT also accepted for Indian students only.

    What is the EDHEC's code for GMAT?

    • MSc & Global MBA Double-Degree: 3QQ-WQ-62
    • MIM Global Economic Transformation & Technology: 3QQ-WQ-06
    • Masters in Management, Business Management: 3QQ-WQ-05
    • Masters in Management, Financial Economics: 3QQ-WQ-36
    • MSc in Creative Business & Social Innovation: 3QQ-WQ-60 (GMAT optional)
    • MSc in Data Analytics & Artificial Intelligence: 3QQ-WQ-82
    • MSc in Entrepreneurship & Innovation: 3QQ-WQ-77 (GMAT optional)
    • MSc in Global & Sustainable Business: 3QQ-WQ-16
    • MSc in Management Studies: 3QQ-WQ-54 (GMAT optional)
    • MSc in Marketing Management: 3QQ-WQ-47
    • MSc in Strategy Consulting & Digital Transformation: 3QQ-WQ-84
    • LL.M. in Law & Tax Management: 3QQ-WQ-26 (GMAT optional)
    • MSc in Corporate Finance & Banking: 3QQ-WQ-73
    • MSc in Finance: 3QQ-WQ-98
    • MSc in Financial Markets: 3QQ-WQ-69
    • MSc in International Accounting & Finance: 3QQ-WQ-04
    • MSc in Risk & Finance: 3QQ-WQ-93

    Is GMAT compulsory?

    • The GMAT test is compulsory for most of EDHEC Master programmes. Please check the “Admissions Requirements” of your programme of interest to confirm whether the exam is required.

    Why is GMAT compulsory for most of our programmes?

    • EDHEC is accredited EQUIS, AASCSB and AMBA. We are obliged to maintain high quality among students and the GMAT is a good measure of this quality.

    Can I add an unofficial GMAT score report to my application file?

    • You will get an unofficial score report immediately after the test and which you should send to the admissions office. This document will provisionally be accepted in your application file.


    EDHEC offers scholarships and financial aid to candidates with excellent profiles. External financial aid is also available to EDHEC applicants.

    What is the EIFFEL Scholarship?

    • The EIFFEL Scholarship programme offers financial support to high-potential candidates of over € 1000 per month. Applications for the EIFFEL Scholarship need to be submitted to EDHEC before December 1st.

    When the tuition fees must be paid?

    • Once accepted by the Selection Committee, you will receive by email a tuition fees payment's schedule. You must make your first payment in order to secure your seat into the programme and get your enrolment letter.

    How does financial aid apply to the tuition fees?

    • Financial aid applies to the second and third instalment for the MSc programme and to the second, third and fourth instalment for the MIM programme.


    What is the EDHEC Career Center?

    • The Student Career Centre is dedicated to helping students find a job or an internship. The Centre receives every year over 14 000 job and internship offers.

    Complementary courses in French are offered to all international students enrolled in our MSc programmes. Our French classes cover all learning levels, from complete beginner to advanced study. The goal is to support your acculturation to French culture and give you the linguistic foundation—grammar, vocabulary, reading, writing and listening—to express yourself in the French language.

    • Class Size: 15 students per group
    • Contact Hours: 8 hours per week
    • Qualifications of the instructors: courses are delivered by an officially accredited French language teaching institution

    Have a question ?

    See also

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