- 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 more about the M1 internship on this page.
Find out all you need to know about M2 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 literacy (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)
Optional EU
- Student involvement
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 (course in English) (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)
- Customer analytics (3 ECTS)
- Introduction to R and Python programming (3 ECTS)
UE7 - Integrating into professional life (level 1) (10 ECTS)
- Cross-disciplinary seminar 2 - professional conferences (1 ECTS)
- Professional Project 1: Challenge or Serious Game (1 ECTS)
- Business English (2 ECTS)
- Thesis (internship/research) (6 ECTS)
Optional UE
- Sport
- Student involvement
MASTER 2
SEMESTER 1 (30 ECTS)
UE1 - Mastering practical, theoretical and ethical marketing issues (8 ECTS)
- New Perspectives in Marketing Research (4 ECTS)
- Cross-disciplinary seminar 3 - Ethics and professional responsibility (2 ECTS)
- In-depth study and research methodology (2 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 (3.5 ECTS)
- Data challenge (2 ECTS)
- Project management (2 ECTS)
- Creativity and new product development (2.5 ECTS)
Optional EU
- Student involvement
SEMESTER 2 (30 ECTS)
UE4 - Deciphering the digital ecosystem as part of a marketing strategy (8 ECTS)
- Advanced digital marketing (4 ECTS)
- Text mining (2 ECTS)
- Advanced digital analytics (2 ECTS)
UE5 - Developing customer relationships through data science and marketing analytics (10 ECTS)
- Marketing Modeling (2 ECTS)
- Multidimensional statistics (4 ECTS)
- Advanced customer analytics (4 ECTS)
UE6 - Formalizing and adapting data analytics (12 ECTS)
- Master 2 thesis (8 ECTS)
- Professional project/research (4 ECTS)
Optional UE
- Sport
- Student involvement
Select a program
Master 1
- Master your marketing and sales environment5 credits- Performance management3 credits21h
- Business English2 credits15h
- Marketing law3 credits21h
 
- Develop market insights13 credits- Cross-disciplinary seminar 1 - professional conferences1 credits6h
- Quantitative Methods15h
- Qualitative Methods4 credits15h
- Consumer behavior5 credits21h
- Quantitative Methods4 credits21h
- Qualitative Methods9h
 
- Drawing up/formalizing a marketing strategy12 credits- Strategic Marketing5 credits21h
- Digital culture4 credits21h
- Strategic management3 credits18h
 
- Optional
- Supporting marketing decisions with stats expertise9 credits- Customer analytics3 credits21h
- Introduction to marketing analytics3 credits21h
- Introduction to programming with R and Python3 credits21h
 
- Developing multi-channel customer relations5 credits- Management of marketing and sales teams1 credits12h
- Distribution and merchandising2 credits18h
- Customer strategy3 credits21h
 
- Integrating into professional life (level 1)10 credits- Cross-disciplinary seminar 2 - professional conferences1 credits12h
- Business English2 credits15h
- MASTER 1 INTERNSHIP THESIS6 credits3h
- Professional project 1: Challenge or Serious Game1 credits12h
 
- Operationalize your marketing strategy6 credits- Brand management2 credits18h
- Digital marketing tools and analytics2 credits12h
- Segmentation and positioning techniques1 credits12h
 
- Optional
Master 2
Admission
Admission requirements
To find out more about the requirements for admission to the Master of Marketing and Data Analytics program, click here.
How to register
And then
Professional integration
- Marketing Analyst
- CRM Analytics Manager
- Digital Analyst
- Marketing Data Expert
- Data Analyst
- Marketing Research Manager
- Marketing analytics consultant