Paris, France
DURATION
26 Months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
30 Jun 2025*
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 27,800
STUDY FORMAT
On-Campus
* early application deadline on January 31
Key Summary
Introduction
A professional approach that is highly sought after by employers! The MSc in Data Science in Marketing is based on a teaching approach that balances theoretical knowledge and practical skills.
The courses are structured around three dimensions:
- Methodologies: machine learning, deep learning, psychometrics, etc.
- Practical skills: programming in R and Python, use of XLstat, SPSS, etc.
- Applications: recommendation systems, development of appetence models, automated customer segmentation, etc.
Throughout the course, you will attend a wide range of talks given by experts, learn more about the concepts involved in real-life case studies using databases supplied by the School's partners, and take part in data mining hackathons.
Program Benefits
On completion of the programme, students can expect to achieve the following Key Learning Objectives:
Understand industry 4.0 trends and resolve modern-day marketing problems by applying the principles of data science and algorithms.
Develop a thorough knowledge and understanding of structured and unstructured marketing data, identify important KPIs, and explore their value proposition towards digital transformation and overall corporate strategy.
Some of the key topics covered will include descriptive analytics, predictive analytics, prescriptive analytics, consumer experimentation and psychometry, MIS, machine learning, big data, and AI for marketing.
Admissions
Scholarships and Funding
Thanks to our strong partnerships with public and private institutions, there are a number of scholarships available to international students,
International students can contact Campus France to check their eligibility for the scholarships offered
Curriculum
Global Management
- Advanced Management Courses
- GAIA Courses (Ecological & Social Transition Management)
A Program in Two Years*
- Year 1: General Management in Nantes
- Year 2: Specialization in Paris
List of courses
- Strategic Marketing
- Transforming Consumer Behavior
- Sustainability, Innovation and Impact in a Finite World
- Databases and Marketing Information Systems(MIS)
- Algorithmic Marketing and the MarTeck Stack
- Economic Intelligence
- Managerial Statistics for Data Science
- Machine Learning for Marketing
- Marketing Analysis and Consumer Psychometrics
- Big Data and AI for Marketing
- Predictive Analytics
- Incidental and Prescriptive Marketing Analysis and Reporting
- Website and Social Media Analytics
- Data Science Consulting Project or Digital Analytics Consulting Project
Internship or Work Experience in France or Abroad
Master's Thesis
Program Outcome
The MSc in Data Science for Marketing prepares you to provide data-driven insights related to data analysis and marketing decision-making. You'll develop strong data analysis skills as well as full technical skills in software, programming languages and applications, from programming in R and Python to automated customer segmentation. You'll also have the opportunity to work with real databases provided by Audencia's partner companies.
Throughout the program, you'll attend numerous expert lectures, explore concepts in real-world case studies, and participate in data mining hackathons. A professional approach that employers are looking for!
1st year of compulsory education in Nantes.
Target Skills
- Developing strategies for the businesses and implementing an innovative, entrepreneurial approaches
- Developing and implementeing marketing strategies (particularly based on user behavior)
- Managing business activities and assessing the financial performance of businesses and the associated risks
- Managing projects and teams in an international context
- Managing energy and social change
- Directing management activities in specific professional fields (Strategy, Finance, Marketing, Entrepreneurship, Information Systems, Supply Chain, Human Resources, Energy and Social Transition, Communication, etc.)
Career Opportunities
Specialist careers:
- Marketing analyst
- Marketing data scientist
- Marketing analytics consultant
- Data scientist
- CRM specialist
- Web and Social Media Analyst
- Data processing architect
- Consumer insights manager
- E-commerce analyst and consultant
- Business analyst
- Digital transformation and AI manager (marketing focused)
Program delivery
Pedagogical methods
The program is based on alternating theoretical and practical sequences (face-to-face or distance learning) using business simulations, case studies and interactive lessons.
Assessment Terms
Continuous monitoring, Examens sur table, Final dissertation
Teaching methods
- Theoretical Courses
- Case Studies
- Practical Exercises
- Group Projects