Master of Science in Data Science for Business
Follow us on Twitter: @MMA_CRM
... formerly known as the "Master of Science in Marketing Analysis".
Important changes to the admission procedure: online testing (no GMAT required) as well as to the content of the program. In particular, please notice the addition of the methodological course on Deep Learning.
The Master of Science in
Data Science for Business is a one-year full-time study
about predictive analytics for analytical Customer Relationship Management (CRM)/Business Intelligence
topics in English covering data-mining techniques. More specifically, the study
mainly focuses on: Analytical Customer Relationship Management/customer
intelligence (i.e., using data-mining techniques to uncover Knowledge in
Databases (KDD)), as well as Big Data.
More detailed information about the admission procedure as well as the application procedures please visit our FAQ page.
The education of CRM specialists involves teaching students aspects from three disciplines: 1. Business (with a focus on Marketing), 2. IT (databases), and 3. Statistics, Data Mining and Deep Learning in particular as shown in the figure below. What makes our advanced master program unique is the fusion of the technical aspects (IT, statistics & data mining) with the business knowledge and insights. This clearly differentiates our graduates from e.g. general MBA programs as well as master in statistics programs.

Extensive information about the program in compact pdf-format (click here for low resolution version). The official study guide of Ghent University contains detailed information about the different courses.
The other master-after-master program offered by the Faculty of Economics and Business Administration.
The Deep Learning Class of the Master of Science in Marketing Analysis is supported by DataCamp a great learning platform for Data Science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalised feedback on every exercise.