MSc Artificial Intelligence for Marketing Strategy
Use AI in a marketing context to improve business decision-making and performance.
Paris, EPITA Paris
Language(s)
Open to international candidates
Last updated on 17/09/2020
Introduction
Programme
Admission
Career
Tuition fees and funding
Accredited by the French Conference des Grandes Ecoles.
Overview
This Master of Science is a joint programme between EPITA (Graduate School of Computer Science) and EM Normandie Business School.
The MSc Artificial Intelligence for Marketing Strategy combines teaching in marketing basics with technical knowledge. Students gain expertise in marketing-applied Artificial Intelligence, which they can use to significantly improve business performance.
The goal of the MSc in Artificial Intelligence for Marketing Strategy (AIMS), which is accredited by the Conference of Grandes Ecoles (CGE), 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.
Rabih HADDAD
Academic Director
Director of International Programmes,EPITA
Strong Points
- Joint training by a major Engineering School and a prominent Business School (both French “Grande Ecoles”)
- 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
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.
Semester 1
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
Semester 2
Business Exposure
- French Language Programme MSc (A2)
- Learning Trip to Dublin
- The Ethics of Artificial Intelligence
Data Science
- Data Visualization
- Introduction to Deep Learning
- Introduction to Machine Learning
Digital Marketing
- Customer Relationship Management (CRM)
- Introduction to Gamification, Augmented Reality and Virtual Reality
- Introduction to User Experience and Bots
- Search Engine Advertising Principles (SEA)
- Search Engine Optimization Principles (SEO)
- Digital Public Relations
Management and Soft Skills
- Communication for Leaders
- Legal
- Research Methodology #1
Semester 3
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
Semester 4
Internship
Admission process
Selection based on application and individual interview.
Apply online from the EPITA website.
Admission requirements
The programme is open to students who hold one of the following degrees, or are undergoing the validation process for these degrees:
- Master’s Year 1 or equivalent (Four years of study following Baccalaureate/’A’ Levels)
- Four-year Bachelor’s degree or equivalent
By way of derogation from the above, the admissions panel may consider exceptional applications which do not meet the above criteria, if the applicant can demonstrate other attributes such as academic excellence, non-profit projects, international experience or internships.
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 800, IELTS 6, TOEFL 80.
Admission process
- We look at each application as a basis for initial selection, favouring thorough applications with a high-quality academic and/or professional profile.
- Eligible applicants are invited to attend an EasyRecru interview with an academic head. The interview helps us to get to know the applicant, and their plans and goals. The admission decision is issued a few days after the interview.
- If the applicant is accepted onto the programme, they will receive a notice of acceptance and be asked to pay a deposit, which is deducted from the tuition fees. This guarantees the student’s place on the programme, and a final acceptance letter is then issued.
We limit the number of places on our programme to ensure that our students benefit from the best possible learning conditions. Available places are reviewed during each admissions process. Admissions are closed as soon as the class is full.
Most of our programmes have reached their maximum enrolment and can no longer accommodate new students. To find out about application opportunities, please contact our team as soon as possible.
List of required items
- 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
EM Normandie is accessible to people with disabilities, and will adapt arrangements for new students according to the specific circumstances.
Do you have a disability?
Contact: pole.diversite@em‑normandie.fr
Career opportunities
- Data Enabler
- Data Visualization 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
- Big Data Consultant
- Data Scientist
- Marketing Strategist
- Expert/Analyst in Marketing/Marketing Research/CRM/Credit Analysis
- Business Data Analyst
Fees
- Application fee: €60
- Cost of programme: €19,400 (including a week-long visit to Dublin)
Funding
Students have a number of options to fund their studies:
- Scholarships: higher education, regional funding, travel or internship grants
- Bank loans: EM Normandie has agreements with partner banks
- Paid student jobs offered by the Jobs Service associations and “Junior Entreprise”.
MSc Artificial Intelligence for Marketing Strategy
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