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 program that lies at the intersection of marketing and data analysis.
It trains managers who are capable of processing data and using it to develop concrete proposals for action.
100%*
Success rate
Objectives
The Master's in Marketing and Data Analytics prepares students for entry into the professional world by enabling them to:
- Develop strong skills in marketing and organizational leadership
- To acquire in-depth skills in understanding the market and competition and translating this into marketing strategies.
- Acquire triple expertise in data analytics: marketing, statistics (modeling), and computer programming (Python).
International dimension
At Montpellier Management, you have the opportunity to study abroad atone of our 45 partner universities in 20 countries.
Discover all the testimonials from our students who have gone abroad
Organization
Knowledge assessment
*Success rate in M2 2023-2024 (admitted / number of students with an average > 7)
Open alternately
Possibility of completing the Master 2 program on a work-study basis.
Internships, supervised projects
Find all the useful information about internships onthis 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 your marketing and commercial environment (5 ECTS)
Marketing Law (3 ECTS)
Business English (2 ECTS)
SEMESTER 2 (30 ECTS)
UE4 – Developing Multichannel Customer Relationships (5 ECTS)
Customer Strategy (3 ECTS)
Marketing and Sales Team Management (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)
UE6 – Supporting marketing decisions with statistical and programming skills (9 ECTS)
Introduction to Marketing Analytics (3 ECTS)
Predictive Analytics (3 ECTS)
Introduction to Programming in R and Python (3 ECTS)
UE7 – Integrating into professional life (level 1) (10 ECTS)
Cross-disciplinary seminar 2 – professional lectures (1 ECTS)
Professional project 1: Challenge or Serious Game (1 ECTS)
Business English (2 ECTS)
Thesis (internship/research) (6 ECTS)
EU Optional
Sports
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)
Advanced Study and Research Methodology (3 ECTS)
UE2 – Preparing data to inform 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 one's actions to a professional context (10 ECTS)
Data visualization and storytelling with data (4 ECTS)
Data project management (2 ECTS)
Prospective (2 ECTS)
Creativity and new product development (2 ECTS)
SEMESTER 2 (30 ECTS)
UE4 – Decoding 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 relationships through marketing analytics (8 ECTS)
Multidimensional statistics (4 ECTS)
Advanced predictive analytics (4 ECTS)
UE6 – Formalizing and adapting data analytics (12 ECTS)
Master's thesis (10 ECTS)
Professional project/Research (2 ECTS)
EU Optional
Sports
Student involvement
Admission
Admission requirements
See the admission requirements for the Master's in Marketing and Data Analytics on this page (under "Prerequisites").
To apply:
- Visit this page
- Click on the red "Apply" button
Registration procedures
See the registration terms and conditions on this page.
And after
Professional integration
- Marketing Analyst
- Analytical CRM Manager
- Digital Analyst
- Marketing Data Specialist
- Data Analyst
- Marketing Researcher
- Marketing analytics consultant