MSc
Master of Science Data Marketing and AI
Master marketing data analysis
1st year postgraduate, 3rd year undergraduate
Work-study
September
Lyon, Paris
RNCP qualification
Level 7 RNCP qualification “Digital Strategy Manager
95%
Net employment rate 6 months after graduation
Top 3
Figaro Étudiant school rankings
+10 000
companies that recruit our students
This course is accessible to people with disabilities.
Reasons to do a Master of
Science Data Marketing and AI
Understanding user behaviour online and harnessing data has become essential for optimising communication campaigns. The MSc Data Marketing and AI is aimed at candidates with an interest in data, artificial intelligence and digital transformation.
What are the training objectives?
Train experts capable of exploiting data and AI technologies to optimise marketing strategies. Students will develop advanced skills in data management and analysis, machine learning and artificial intelligence applied to marketing, in order to master the analysis of data and present it in a clear and understandable way.
What are the key skills developed during this training?
- Defining a brand’s digital strategy
- Organise the operational implementation of the digital project
- Roll out the brand’s digital project
- Steering and managing project performance
- Managing data and AI strategy
Which campuses offer this course?
the courses
What are the courses for the MSc Data Marketing and AI?
During the MSc Data Marketing and AI, you will cover the following topics:
- Digital and media strategy
- Strategic planning
- Quali and quanti data
- Tagging and tracking
- Dashboard and indicators
- Legal and ethical
- Data driven marketing
- Audience analysis and performance
- Data science and machine learning
- IA
- Data governance
The diploma is obtained by acquiring 120 ECTS through a series of individual or collective written or oral work placements.
Create your start-up
Including the flagship end-of-year project: Create your own start-up. Learners form mixed project groups from different specialties to carry out this major pedagogical exercise. The aim is to acquire the entrepreneurial skills needed to create their own fictitious start-up. Those who wish to do so will have the opportunity to join the Omnes Education incubator, where they will be supported in the real deployment of their concept.
Competitions
These are the highlights of the training program, and provide an opportunity for students to put themselves into professional situations. Students work on a real customer brief presented by the agency and/or the Brand, to respond to an acquisition or loyalty issue. This cross-disciplinary recommendation is carried out collectively, with deliverables distributed according to the skills of each student.
An in-company professionalization period is also required during the course.
Learning on the job
Professional experience
Gain technical skills and develop your employability thanks to the many in-company placements offered during the MSc Data Marketing and AI. Whether you choose to do a work placement or a work-study, you’ll be well prepared to enter the job market.
How does the work-study work?
In the MSc, the work-study pattern is one week in the classroom and three weeks in the company.
What work-study contracts are available?
2 types of contract: apprenticeship contract or professionalisation contract. Each contract is aimed at a specific target group and has its own characteristics
Will the school help me find a work-study contract?
Yes, we support you with coaching workshops and by sharing job offers from our 10,000 partner companies.
Companies that recruit our students
What career opportunities are there after this course?
Once you have completed your training, you can look forward to a wide range of positions in marketing and data with advertisers, pure players, IT services and engineering companies, e-commerce agencies or digital communications agencies.
The professions
Data marketing manager
Digital manager
Digital project manager
Data Manager
Head of data marketing
Data Miner
international
Can I study abroad?
The MSc Data Marketing and AI does not include study periods abroad. To gain international experience during the course, you have the option of doing an internship abroad (for full-time students).
admission process
How do I apply for this course?
A quick and easy online admissions process
Completion of 180 ECTS (level 6, Bachelor’s degree or equivalent)
In communications, marketing or advertising
Successful results
1 written and 1 oral exam
Completion of 240 ECTS (Bac+4 or equivalent)
In the field of visual creation, graphic design, audiovisual creation or animation
Successful results
For entry to the 1-year course, experience in a company in the marketing or communications sector is a prerequisite for entry.
Online application form
Results within 5 days
Invitation to the admission exams
Online registration
Exams and interview with the jury
Certification
Which certification is issued
by the MSc Data Marketing and AI?
Ce programme délivre la certification RNCP “ Manager de la stratégie digitale “ de niveau 7 reconnue par l’État. CODE RNCP 37793 | CODE DIPLÔME 16X32014
Certification skills block
Bloc 1 – Define a brand’s digital strategy
Bloc 2 – Organize the operational implementation of the digital project
Bloc 3 – Deploy the brand’s digital project
Bloc 4 – Manage performance to achieve project goals
Bloc 5 – Manage the social media acquisition/optimization strategy
THIS CERTIFICATION CAN BE OBTAINED BY CAPITALIZING ON BLOCKS OF SKILLS.
Fees and grants
What are the financing conditions?
Find out here about admission fees by campus and by year of study, as well as the solutions and grants available to help finance your studies.
| MSc 1 full-time | MSc 2 full-time | MSc 1+2 work-study | MSc 2 work-study | |
|---|---|---|---|---|
| Paris | €10,850 | €11,350 | €23,000 | €11,850 |
| Lyon | €10,650 | €10,900 | €22,500 | €11,400 |
- Student loan can be negotiated with one of our partner banks
- Payment schedules
- Discount for siblings enrolled in one of the group’s schools
- 100% tuition reimbursement for work-study students
go further
events
Meet us at our Open Days and ask our teams or our students any questions you may have.
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Big ambitions raise big questions
Our campus teams are ready to answer all your questions at a personal meeting.