Opleiding

Master of Science in Data Science for Business

24 aug. 2026 - 1 jul. 2027

In today’s landscape, data is no longer just a byproduct of business—it is the primary driver of innovation and competitive advantage. Our program is designed to bridge the gap between technical expertise and strategic leadership, empowering you to turn complex data into actionable insights.

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Praktische info:

24 aug. 2026 - 1 jul. 2027

1800 uur

Ghent, Belgium

Engels

Doelgroep: Students

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Voorwaarden: Statistics, Data Mining, Python
Prijs: €3893.40

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georganiseerd door:

Ghent University / Faculty of Economics and Business Administration

The education of Data Scientists for Business involves teaching students aspects of four disciplines:

Business
Data
Statistics, Data Mining, and Deep Learning
Optimization.

What makes our advanced master program unique is the fusion of the technical aspects (IT, statistics & data mining; more specifically in predictive analytics, prescriptive analytics, and artificial intelligence) with the business knowledge and insights. This clearly differentiates our graduates from e.g. general MBA programs as well as master in statistics programs.

Lesgevers / sprekers

Dirk Van den Poel

www.linkedin.com/in/DirkVANdenPoel/

Prof. Dr. Dirk Van den Poel is Senior Full Professor of Data Analytics at Ghent University, Belgium. He obtained his Master degree of Business Engineering as well as his PhD from KULeuven. He teaches courses such as Big Data, and Analytical Customer Relationship Management. He co-founded the advanced Master of Science in Marketing Analysis (in 1999), the first (predictive) analytics master program in the world as well as the Master of Science in Statistical Data Analysis and the Master of Science in Business Engineering/Data Analytics. He has co-authored 150+ peer-reviewed research publications in journals such as Journal of Marketing, Journal of Statistical Software, Journal of Product Innovation Management (best paper award in 2017), Computers and Chemical Engineering, European Journal of Operational Research, IEEE Transactions on Parallel and Distributed Systems and Decision Support Systems. He helped 100+ for profit and non-profit organizations in applying the aforementioned methods to real-life business cases.

Expertise: Machine Learning, statistiek, AI, LLM (Large language models), Deep Learning

Matthias Bogaert

Matthias Bogaert is een professor bij de vakgroep Marketing, Innovatie en Organisatie (onderzoeksgroep Data Analytics) aan de Universiteit Gent en gastprofessor aan de Universiteit van Namen. Hij geeft een brede waaier aan data analytics opleidingen van basis statistiek en database management tot gevorderde, voorspellende analytics en sociale media en web analytics. Zijn onderzoek focust op toepassingen van beschrijvende, voorspellende en voorschrijvende analytics in sociale media, digital communicaties, sport and customers relationship management. Het hoofddoel van zijn onderzoek is om te komen tot een reproduceerbare data-analyse methodologie die bedrijven eenvoudig kunnen implementeren. Zijn onderzoek is gepubliceerd in verschillende welgekende internationale tijdschriften zoals the European Journal of Operational Research, Omega, Decision Sciences, and Decision Support Systems.

Seppe vanden Broucke

seppe.net/

Seppe vanden Broucke received a PhD in Applied Economics at KU Leuven, Belgium in 2014. Currently, Seppe is working as an assistant professor at the department of Business Informatics at UGent (Belgium) and is a lecturer at KU Leuven (Belgium). Seppe’s research interests include business data mining and analytics, machine learning, process management, process mining. His work has been published in well-known international journals and presented at top conferences.