Prepare to perform functions related to data analysis and marketing decision making.
The Program
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 is highly sought after by employers!
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
You'll find yourself in a pre-professional situation similar to your 1st job. This internship is based on a strong involvement in the company, giving you real professionalism. It allows you to put into practice all the knowledge and skills you've acquired in the profession you're preparing for. This period serves as a stepping stone to your professional life.
Immerse yourself in an in-depth study of a topic related to your Master of Science. Both theoretical and practical, this dissertation allows you to highlight what you've learned and how you plan to apply it.
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