New MSc specialisation in Economics and Business: Data Science & Marketing Analytics
As from the academic year 2018-2019 Erasmus School of Economics is introducing the specialisation Data Science & Marketing Analytics within the Master programme Economics and Business.
Data scientist is going to be the sexiest job of the 21st century, according to the Harvard Business Review. Given the growing awareness of the possibilities of exploiting data science for business, the data science skills acquired during the Master specialisation Data Science & Marketing Analytics are expected to provide graduates with excellent career prospects.
According to Trevor Hastie, the John A. Overdeck Professor of Statistics and Professor of Biomedical Data Science at Stanford University, it is all quite obvious: “Big data is everywhere - it drives web search, web advertising and quantitative finance, to name a few industries. Data Science plays a fundamental role in this new Economy. With its strong history in data modeling, Erasmus School of Economics is well poised to train a new generation of data scientists.”
Data Science & Marketing Analytics
Modern businesses and organizations are increasingly involved in collecting and processing vast amounts data. The resulting big data are more and more seen as an important resource for businesses. In this new Master specialisation Data Science & Marketing Analytics, students focus on the tools and skills that are needed to analyze such data in modern businesses and to turn them into meaningful insights that can be used to generate business value. In particular, Data Science & Marketing Analytics combines theory and practice from computer science, machine learning, marketing, economics, and statistics, in such a way that the potential of big data can be exploited successfully to create greater value for consumers and firms.
Economics students with a Master degree in Data Science for & Marketing Analytics are expected to have many job opportunities in various sectors of the economy such as (online) retailing, financial services, consulting, and health care. For example, many businesses and organizations are either setting up or expanding business analytics/customer analytics/marketing analytics units. The combination of data science skills and business understanding will be of great value to our graduates and the companies that hire them.