Master of Science in Data Science for Business
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... formerly known as the "Master of Science in Marketing Analysis".
Important changes to the admission procedure: online testing (no GMAT nor GRE 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.
The 2023-2024 tuition fee has been set to 3594,10 EUR (This includes all mandatory courses).
More detailed information about the admission procedure as well as the application procedures please visit our FAQ page.
The education of Data Scientists for Business involves teaching students aspects of four disciplines: 1. Business, 2. Data, 3. Statistics, Data Mining, and Deep Learning, and 4. Optimization 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.
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 Big Data Class of the Master of Science in Data Science for Business 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 personalized feedback on every exercise.