ECTS
120 credits
Duration
1 or 2 years
Training structure
Montpellier Management
Language(s) of instruction
French
Presentation
The Master's in Marketing and Data Analytics is a course at the crossroads of marketing and data analysis.
It trains managers capable of processing data and drawing up concrete proposals for action.
100%*
Success rates
Objectives
The Master of Marketing and Data Analytics prepares students for their integration into the professional world by enabling them to:
- Develop strong marketing and organizational management skills
- Acquire in-depth skills in understanding the market, the competition and translating them into marketing strategies
- Acquire triple skills in Data Analytics: marketing, statistics (modeling) and computer programming (Python)
International dimension
At Montpellier Management, you have the opportunity to study abroad inone of 45 partner universities in 20 countries.
Organization
Knowledge control
*Success rate in M2 2023-2024 (admitted / number of students with an average > 7)
Open on a sandwich basis
The Master 2 program can be completed on a sandwich course basis.
Internships, tutored projects
Find out all you need to know about internships on this page.
Program
MASTER 1
SEMESTER 1 (30 ECTS)
UE1 - Developing/formalizing a marketing strategy (12 ECTS)
Strategic management (3 ECTS)
Strategic marketing (5 ECTS)
Digital culture (4 ECTS)
UE2 - Developing market insights (13 ECTS)
Consumer Behavior (5 ECTS)
Qualitative Methods (4 ECTS)
Quantitative Methods (4 ECTS)
UE3 - Mastering the marketing and sales environment (5 ECTS)
Marketing law (3 ECTS)
Business English (2 ECTS)
SEMESTER 2 (30 ECTS)
UE4 - Developing multi-channel customer relations (5 ECTS)
Customer strategy (3 ECTS)
Management of marketing and sales teams (1 ECTS)
Sales and negotiation (1 ECTS)
UE5 - Operationalizing your marketing strategy (6 ECTS)
Brand management (3 ECTS)
Segmentation and positioning techniques (1 ECTS)
Digital marketing tools (2 ECTS)
EU6 - Supporting marketing decisions with statistical and programming skills (9 ECTS)
Introduction to marketing analytics (3 ECTS)
Predictive analytics (3 ECTS)
Introduction to programming with R and Python (3 ECTS)
UE7 - Integrating into professional life (level 1) (10 ECTS)
Transversal seminar 2 - professional conferences (1 ECTS)
Professional project 1 : Challenge or Serious Game (1 ECTS)
Business English (2 ECTS)
Dissertation (internship/research) (6 ECTS)
Optional UE
Sport
Student involvement
MASTER 2
SEMESTER 1 (30 ECTS)
UE1 - Mastering practical, theoretical and ethical marketing issues (9 ECTS)
New Perspectives in Marketing Research (4 ECTS)
Cross-disciplinary seminar 3 - Ethics and professional responsibility (2 ECTS)
In-depth study and research methodology (3 ECTS)
UE2 - Preparing data for decision-making (12 ECTS)
Introduction to Big Data and AI processing (2 ECTS)
Practical use of data analysis software (4 ECTS)
Advanced SQL and Python programming (6 ECTS)
UE3 - Adapting actions to a professional context (10 ECTS)
Data visualization and storytelling with data (4 ECTS)
Data project management (2 ECTS)
Foresight (2 ECTS)
Creativity and new product development (2 ECTS)
SEMESTER 2 (30 ECTS)
UE4 - Deciphering the digital ecosystem as part of a marketing strategy (9 ECTS)
Social sciences, technology and marketing (4 ECTS)
Text mining (2 ECTS)
Advanced digital analytics (3 ECTS)
UE5 - Developing customer relations through marketing analytics (8 ECTS)
Multidimensional statistics (4 ECTS)
Advanced predictive analysis (4 ECTS)
UE6 - Formalizing and adapting data analytics (12 ECTS)
Master 2 thesis (10 ECTS)
Professional project/research (2 ECTS)
Optional UE
Sport
Student involvement
Admission
Admission requirements
See the " Prerequisites" section on this page for details of how to access the Marketing and Data Analytics Master's program.
To apply :
- Go to this page
- Click on the red "Apply" button
How to register
See registration details on this page.
And then
Professional integration
- Marketing Analyst
- CRM Analytics Manager
- Digital Analyst
- Marketing Data Expert
- Data Analyst
- Marketing Research Manager
- Marketing analytics consultant