Business Analytics and Quantitative Marketing

Master Econometrics and Management Science

Using data science to retrieve hidden information

The need for quantitative support for operational and strategic decisions is ever-increasing. Do you want to help businesses understand their customers better and make smarter decisions? Are maths, statistics and econometrics your forte? Do data science and the use of advanced methods appeal to you? The Business Analytics and Quantitative Marketing programme focuses on the most creative side of data science: converting big data into knowledge, finding opportunities and predicting behaviour.

This challenging programme teaches you how to solve business problems from an econometric point of view, perform quantitative research by using and further developing state-of-the-art data-analysis methods and translate findings into actionable advice.

How many reasons do you need?

At Erasmus School of Economics we are leaders in quantitative research and renowned for our high-quality practice-based teaching methods. Add this to our close ties to the business world and our many successful alumni in the field… and you know why Rotterdam is where you want to specialise in Business Analytics and Quantitative Marketing.

Careers

Solid (management) decisions in business and marketing increasingly depend on quantitative analysis. Not surprisingly, business analysts are in high demand. For the first step in their careers our alumni found jobs as a (marketing) researcher or data scientist at organisations like:

ACNielsen, GfK, KPN, Unilever and Bol.com

  • smaller specialised consultancy firms
  • financial institutions like banks or insurance companies
  • academia

Such a position is also excellent stepping stone for a senior research or management position at similar corporations and institutions.

"Obtaining relevant information from very large and complex datasets to support accurate decision-making gives me a kick"

Are statistics and econometrics your thing? Would you like to dig deep, retrieve hidden information with state-of-the art techniques and contribute to sound decision-making? Our students share your interests. See how you match.