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 rate
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)
Program
Select a program
Master 1
Mastering the marketing and sales environment
8 creditsPerformance management
3 credits21hBusiness English
2 credits15hMarketing law
3 credits21h
Develop market insights
11 creditsCross-cutting seminar 1 - professional conferences
1 credits6hQuantitative Methods
15hQualitative Methods
3 credits9hConsumer behaviour
4 credits21hQuantitative Methods
3 credits12hQualitative Methods
9h
Develop/formalize a marketing strategy
11 creditsStrategic Marketing
4 credits21hDigital Culture
4 credits21hStrategic management
3 credits18h
Optional
Supporting marketing decisions with statistical expertise
9 creditsCustomer analytics
3 credits21hIntroduction to marketing analytics
3 credits21hIntroduction to programming with R and Python
3 credits21h
Develop multi-channel customer relations
6 creditsManagement of marketing and sales teams
1 credits12hDistribution and merchandising
2 credits18hCustomer strategy
3 credits21h
Integrating into professional life (level 1)
10 creditsCross-cutting seminar 2 - professional conferences
6hBusiness English
2 credits15hTHESIS INTERNSHIP MASTER 1
6 credits3hProfessional Project 1: Challenge or Serious Game
1 credits12h
Operationalize your marketing strategy
5 creditsBrand management
2 credits18hDigital marketing tools and analytics
2 credits12hSegmentation and positioning techniques
1 credits12h
Optional
Master 2
Prepare data to inform decision making
12 creditsData management systems and IT tools
4 creditsPractice of data analysis software
4 creditsAdvanced programming with R and Python
4 credits
Adapting one's action to a professional context
10 creditsData visualization and storytelling with data
4 creditsManagement and project management
3 creditsData challenge
3 credits
Master practical, theoretical and ethical marketing issues
8 creditsOptional
Formalize and adapt data analytics
12 creditsMaster 2 thesis
8 creditsProfessional project/Rech
4 credits
Developing customer relationships through data science
10 creditsMultidimensional statistics
4 creditsData-Driven Approaches to CRM
2 creditsAdvanced customer analytics
4 credits
Deciphering the digital ecosystem as part of a marketing strategy
8 creditsAnalysis of text data (text mining)
2 creditsAdvanced digital analytics
4 creditsData-Driven Approaches to Digital Marketing
2 credits
Optional
Admission
Conditions of access
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