MSc

MSc Artificial Intelligence for Marketing Strategy

Join a Master of Science in Artificial Intelligence

The MSc Artificial Intelligence for Marketing Strategy is a joint programme between EPITA (Graduate School of Computer Science) and EM Normandie Business School.

It combines teaching in marketing basics with technical knowledge. Gain expertise in marketing-applied to Artificial Intelligence and use it to significantly improve business performance.

Accredited by the French Conférence des Grandes Écoles and internationally recognised 5-year degree by the French Ministry of Higher Education and Research.

msc-vise-bac-5

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Level

Graduate degree


Campus

EM Normandie Paris, Epita Paris


Language

English


Rythm

Full-time


Ranking

Recognised 5-year degree by the French Ministry of Higher Education and Research.

Why join a Master of Science in Artificial Intelligence?

  • Joint training by a major Engineering School and a prominent Business School (both French “Grande Écoles”).
  • Programme fully taught in English
  • Skills in both marketing and Artificial Intelligence.
  • A professional training trip to Dublin to find out more about Big Tech.
Master of Science in Artificial Intelligence

The Master of Science in Artificial Intelligence programme

The MSc Artificial Intelligence for Marketing Strategy programme provides a comprehensive overview of Artificial Intelligence, and the challenges of applying it to the marketing sector.

 

Cultural Integration

Cultural Integration Workshop
French Language Programme MSc (A1)

Foundation in Marketing

Operational Marketing Concepts
Strategic Marketing Principles

Management and Soft Skills

Multi-cultural management
Global leadership
Web project Management

Technical Foundation

Data Privacy By Design
Mathematics for Data Science
Python and Algorithm Workshop: Initiation
Technical Orientation and Computer Literacy
Introduction to Computer Science

Business Exposure

French Language Programme MSc (A2)
Learning Trip to Dublin
The Ethics of Artificial Intelligence

Data Science

Data Visualisation
Introduction to Deep Learning
Introduction to Machine Learning

Digital Marketing

Customer Relationship Management (CRM)
Introduction to Gamification, Augmented reality & Virtual reality
Introduction to User Experience & Bots
Searching Engine Advertising Principles (SEA)
Searching Engine Optimisation Principles (SEO)
Digital Public Relations

Management and Soft Skills

Communication for Leaders
Legal
Research Methodology #1

Applications of Artificial Intelligence

Computer Vision and Image Analysis
Natural Language Processing Applications
Recommender System

Artificial Intelligence for Marketing

AI for Customer Relationship Management (CRM)
Artificial Intelligence in UE and Bots Implementation
DMP, Predictive analysis, Data intelligence and KPI (Analytics)
Gamification, Augmented reality and Virtual reality Workshop using AI

Business Exposure

Dissertation
End of Programme Project

Management and Soft Skills

French Language Programme MSc (A2-B1)
Negotiation
Research Methodology #2

Internship

All components of the student’s education are evaluated: academic learnings, internships, missions, challenges, dissertations, study stays in partner universities. For academic learnings, continuous assessment generally accounts for 40% and the final exam accounts for the remaining 60%. Evaluations may also take the form of case studies, role-playing, group work, etc. Professionalisation (work-study, internships, missions, challenges) and, where appropriate, the corresponding report, will be evaluated jointly by the teaching team and the company.
Rabih HADDAD

Rabih HADDAD

Academic Director, Director of International Programmes,EPITA

The goal of the Master of Science in Artificial Intelligence is to train marketing strategists to create a market-focused company using innovative and revolutionary AI technologies. Managers will learn to use strategies and efficient decision-making processes using cutting-edge “martechs” (marketing technology service providers), enabling human managers to perform better in terms of generating and retaining business.

mohammed-benbitour

Mohammed Hichame Benbitour

Academic Director, Assistant professor in logistic, EM Normandie

This programme is designed for the leaders of hyper-performing organisations. It unifies the science and practice on leveraging the power of artificial intelligence in achieving superior marketing results. The most successful future managers will master the technological advancements to transform the way we do business and deliver value across the world. Remember, this era will be dominated by those who excel in human-technology interaction. So, welcome to enjoy this journey of becoming the masters of Artificial Intelligence for Marketing Strategy.

Selection based on application and individual interview.
  1. Application files submitted are reviewed with special attention paid to the seriousness of the file and the quality of the academic and/or professional profile.
  2. Shortlisted candidates are invited for an interview via Skype. This interview helps clarify the applicants profile, their projects, their objectives. The final admission decision (offered or denied admission) is communicated a few days after this interview.
  3. Admitted candidates are notified formally and invited to make a down payment, later on deducted from the tuition fees. This initial payment confirms the candidate’s seat in the programme and an unconditional letter of admission is then issued.
In order for our students to benefit from optimal learning conditions, places in our programmes are limited. The number of remaining places is reviewed after each admission session. Whenever a cohort is full, admissions for the programme are closed. The application deadline for the next 2021-2022 admission session is every 15th of the month. In addition to the EM Normandy 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.
The programme is open to:
  • Students who hold a three-year or four-year bachelor degree, or an equivalent level study
No English language test score is required for students with a degree from an English-speaking university. For other applicants, the following language requirements apply: TOEIC 790, IELTS 6, TOEFL 83.
All components of the student’s education are evaluated: academic learnings, internships, missions, challenges, dissertations, study stays in partner universities. For academic learnings, continuous assessment generally accounts for 40% and the final exam accounts for the remaining 60%. Evaluations may also take the form of case studies, role-playing, group work, etc. Professionalisation (work-study, internships, missions, challenges) and, where appropriate, the corresponding report, will be evaluated jointly by the teaching team and the company.
  • CV
  • Passport
  • University transcript
  • Pass certificate for Bachelor’s degree or equivalent
  • Pass certificate for Baccalaureate diploma or equivalent
  • Two letters of recommendation
  • Motivation letter
  • Data Enabler
  • Data Visualisation Consultant
  • Marketing Data Analyst
  • Entrepreneur
  • Customer Intelligence Manager
  • E-marketer
  • Operational Researcher
  • Business Intelligence Consultant
  • Data Manager
  • Data Analyst
  • Data Strategist
  • Big Data Consultant
  • Data Strategist
  • Marketing Scientist
  • Data Scientist
  • Marketing Strategist
  • Expert/Analyst in Marketing/Marketing Research/CRM/Credit Analysis
  • Business Data Analyst
  • Application fee: €60
  • Cost of programme: €19,400 (including a week-long visit to Dublin)
  • The contribution to CVEC (Contribution Vie Etudiante et de Campus), amounting to €95, by connecting to the dedicated plaftorm.

Tuition fees include the membership fee for EM Normandie Alumni Association, which gives you access to all services and a life membership.

Contact us

Rhea Shivan

Rhea Shivan

Admission officer

Contact us

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