Data Science for Marketing

Overview

The courses in  Data Science for Marketing at  Audencia 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.

Careers

Here are a number of examples of positions you could occupy after completing an MSc in Data Science for Marketing:

Specialist careers: Marketing analyst, Marketing data analyst, Marketing analytics consultant, Data scientist, Data marketing architect, Consumer insights manager

Business sectors with data-rich professional environments: Wholesale distribution, telecoms, banks, insurance, services

Employers: Consulting agencies, national and international groups, web giants, small to medium sized businesses, start-ups

Job 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