Gain a deep understanding of the customer journey through data science.

Go beyond awareness, acquisition and activation of customers to understand where your best customers are coming from - and how to customise your marketing strategy for them. Predict churn rates and make a plan to better engage customers. From methodologies like machine learning and the fascinating field of psychometrics to practical skills like R and Python programming, you'll be able to see things others miss.

Audencia's high quality and commitment to corporate social responsibility (CSR) prepare you for an impactful career in data analysis and marketing decision-making. Audencia is amongst the 1% of business schools holding all three top international academic accreditations (EQUIS, AACSB and AMBA). We are also recognised as a Top 30 school globally in the Positive Impact Rating for Business Schools by the UN's PRME Global Forum.

About the programme:

This Master of Science in Data Science for Marketing prepares you to provide data-driven insights and make strategic decisions in marketing. You will develop solid skills in data analysis as well as technical mastery of key software, programming languages and applications, from programming in R and Python to building automated customer segmentation. You will also get to work in real databases provided by Audencia’s corporate partners.

Throughout the programme, you will be invited to a large number of expert interventions, to further acquire concepts through real-world situations and participation in data mining hackathons. An applied approach, much sought after by employers!

Careers outcomes:

Here are a number of examples of positions you could occupy after completing the programme:

• 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.